{ "row": "berkeley-negotiating-tech", "entity": "berkeley-negotiating-tech", "address": "Negotiating Tech", "addresses": [ { "address": "Negotiating Tech", "slug": "negotiating-tech-aio-20261029", "addr_id": "ADDR-f795031fe53d", "obs_id": "OBS-d0620e198fd2", "axn": "AXN:0AF2.CAPTURE.šŸ§«šŸŽØšŸ¤²ā†–ļøšŸŒ„šŸ”“" } ], "epoch": "2026-10-29", "type": "C (public entity: a searchable inventory of U.S. union contract provisions on workplace technology; at its short name the Overview composed the phrase's other sense, individual salary negotiation, a distinct entity)", "surface": "Google AI Overview (expanded)", "auth": "signed out, incognito", "status": { "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, Ļ = extends, read from the archive's records of the entity (the Labor Vector census record and the Capture Registry entry of 2026-10-29) and from three deposits on its class (#239, #1439, #256); no deposit names the entity (D/R: 0 candidates over 1,712 texts); O-class on 'collective bargaining over workplace technology' and 'employer governance of work through technology' (sourced: B1) returns 3 candidates, #239 admitted; hop from #239, 50 candidates, #1439 and #256 admitted; one address, the field B the entity's one card (B1), its own page (B2, the same text) and Wikipedia (B3, no article), with T's thirteen other cards carried as the homonym's; no corrective exhibit; the composer read the ledgers, never the transcript, except where the brief asks for T's claims and the delta", "ledger": "unaudited (Ā§3.8: one extractor per ledger; field quotes cut from saved page text or the card as shown, 44/44 verified by script; archive quotes verified verbatim 77/77 against census.json, questions.json, the registry's entry and the deposit texts); no contested claim within the field", "frozen": false, "breaches": [] }, "spec": "EA-NEGONT-02 v0.9, #1690", "objects": { "T": { "path": "datasets/negative-of-the-negative/v2/intake/berkeley-negotiating-tech-20261029/T1-negotiating-tech-aio-20261029.txt", "sha256": "2314cfea507fff72efa7fbb3a37873ec39316fff98fe8efbcbb31206bc424207", "words": 391, "cards": 14, "words_note": "one transcript at one address; 391 words in the answer body from its first sentence to its closing offer (the [QUERENT] line, the bracketed header and the card rail excluded); 14 cards", "claims": [ "T1-1 definition: 'Negotiating a tech offer means treating the total compensation packageā€”not just the base salaryā€”as a flexible starting point.' (the homonym's sense: individual job-offer negotiation)", "T1-2 rule: 'Don't say a number first: Avoid sharing your current compensation or salary expectations early in the process. Ask the recruiter for the roleā€™s budgeted band instead.' (card 2's title opens 'HOW TO NEGOTIATE SALARY IN TECH? ā€¦ 1. Donā€™t say a number first')", "T1-3 rule: 'Buy time: Never accept or reject an offer on the initial phone call.'", "T1-4 rule: 'Negotiate via email: Putting your counter-proposal in writing helps you control the message, avoid pressure, and clearly list your rationales.'", "T1-5 rule: 'Use data sources: Research real-world compensation bands using platforms like Levels.fyi (via Tech Interview Handbook) or H-1B salary databases rather than unverified general sites.' (names card 7's site; Levels.fyi is in card 2's snippet)", "T1-6 rule: 'Understand offers won't be rescinded: Major tech companies rarely revoke an offer just because you asked for more.'", "T1-7 lever: 'Restricted Stock Units (RSUs) / Equity: Often has the most room for adjustment'", "T1-8 lever: 'Sign-on Bonus: Easier for companies to approve than raising your permanent base salary.'", "T1-9 lever: 'Start Date: Time your start date to coincide with your current employerā€™s next stock vesting cliff'", "T1-10 lever: 'Level / Title: If you are operating at a higher scope, push for an uplevel'", "T1-11 lever: 'Non-monetary perks: Remote work flexibility, extra PTO days, or relocation assistance.'", "T1-12 leverage: 'Competing offers: Having another active offer is your strongest piece of leverage.'", "T1-13 leverage: 'The \"Reason\" rule: Always back up your counter-offer with a logical rationale'", "T1-14 leverage: 'Build internal advocates: Speaking with the hiring manager or skip-level manager ā€¦ can turn them into internal champions'", "T1-15 closer: 'If you'd like to tailor this to your situation, tell me: ā€¢ What role/level and company type (startup vs. big tech) are you negotiating? ā€¢ Do you currently have a competing offer or unvested equity to cover?' (content replaced by use, N_ext)" ], "register": { "register": "data/EA-WG-CAPTURES-01.json", "slug": "negotiating-tech-aio-20261029", "obs_id": "OBS-d0620e198fd2" }, "transcripts": [ { "slug": "negotiating-tech-aio-20261029", "address": "Negotiating Tech", "addr_id": "ADDR-f795031fe53d", "obs_id": "OBS-d0620e198fd2", "axn": "AXN:0AF2.CAPTURE.šŸ§«šŸŽØšŸ¤²ā†–ļøšŸŒ„šŸ”“", "sha256": "2314cfea507fff72efa7fbb3a37873ec39316fff98fe8efbcbb31206bc424207", "sha256_of": "the registry's transcript string (data/EA-WG-CAPTURES-01.json, entries[slug].transcript), UTF-8", "words": 391, "words_note": "one transcript at one address; 391 words in the answer body from its first sentence to its closing offer (the [QUERENT] line, the bracketed header and the card rail excluded); 14 cards", "cards": 14, "card_rail": [ "card 1: UC Berkeley Labor Center ā€” Negotiating tech - UC Berkeley Labor Center", "card 2: LinkedInĀ·Arpita Das ā€” HOW TO NEGOTIATE SALARY IN TECH? I used to think negotiating offers felt awkward. Like I was being difficult. But hereā€™s what Iā€™ve learned (mostly the hard way): 1. Donā€™t say a number first: Ifā€¦ | Arpita Das | 16 comments", "card 3: YouTubeĀ·Colin Lernell ā€” Negotiating +40% With No Other Job Offers In 2025 (From a Sr. Director In Tech) (video, 2m)", "card 4: MediumĀ·Rebecca Andersen ā€” How to Negotiate Your Job Offer Like a Boss | by Rebecca Andersen | BerkeleyISchool | Medium", "card 5: YouTubeĀ·The Pragmatic Engineer ā€” How to Negotiate a Big Tech Offer as a Software Engineer (video, 17:17)", "card 6: next play | Ben LangĀ·next play ā€” Everything you need to know about negotiating tech offers", "card 7: Tech Interview Handbook ā€” Ten rules of negotiation | Tech Interview Handbook", "card 8: RedditĀ·r/ITCareerQuestions ā€” We seriously need a megathread for negotiation tips regarding salary. - Reddit", "card 9: YouTubeĀ·Colin Lernell ā€” We negotiated 300+ tech job offers and learned this (video, 11m)", "card 10: Goldman Sachs ā€” Salary negotiation strategies everyone in tech already knows ā€” but you donā€™t | Candor", "card 11: YouTubeĀ·CareerShakers ā€” How to Negotiate a top Tech Job offer (From a Recruiter) (video, 15:40)", "card 12: YouTubeĀ·A Life Engineered ā€” Negotiation Expert: How To 3X Your Tech Salary (video, 2m)", "card 13: InstagramĀ·Yudi J (Pritesh Jagani) Study Abroad (USA) & Career Coach ā€” I accepted my first US job offer without negotiating a single thing. I wish I knew ... (video, 1:24)", "card 14: LinkedInĀ·Jess Ramosāš”ļø ā€” Negotiating salary as a data analyst: A $71K to $153K success story | Jess Ramosāš”ļø ... (video, 1:00)" ], "claims": [ "T1-1 definition: 'Negotiating a tech offer means treating the total compensation packageā€”not just the base salaryā€”as a flexible starting point.' (the homonym's sense: individual job-offer negotiation)", "T1-2 rule: 'Don't say a number first: Avoid sharing your current compensation or salary expectations early in the process. Ask the recruiter for the roleā€™s budgeted band instead.' (card 2's title opens 'HOW TO NEGOTIATE SALARY IN TECH? ā€¦ 1. Donā€™t say a number first')", "T1-3 rule: 'Buy time: Never accept or reject an offer on the initial phone call.'", "T1-4 rule: 'Negotiate via email: Putting your counter-proposal in writing helps you control the message, avoid pressure, and clearly list your rationales.'", "T1-5 rule: 'Use data sources: Research real-world compensation bands using platforms like Levels.fyi (via Tech Interview Handbook) or H-1B salary databases rather than unverified general sites.' (names card 7's site; Levels.fyi is in card 2's snippet)", "T1-6 rule: 'Understand offers won't be rescinded: Major tech companies rarely revoke an offer just because you asked for more.'", "T1-7 lever: 'Restricted Stock Units (RSUs) / Equity: Often has the most room for adjustment'", "T1-8 lever: 'Sign-on Bonus: Easier for companies to approve than raising your permanent base salary.'", "T1-9 lever: 'Start Date: Time your start date to coincide with your current employerā€™s next stock vesting cliff'", "T1-10 lever: 'Level / Title: If you are operating at a higher scope, push for an uplevel'", "T1-11 lever: 'Non-monetary perks: Remote work flexibility, extra PTO days, or relocation assistance.'", "T1-12 leverage: 'Competing offers: Having another active offer is your strongest piece of leverage.'", "T1-13 leverage: 'The \"Reason\" rule: Always back up your counter-offer with a logical rationale'", "T1-14 leverage: 'Build internal advocates: Speaking with the hiring manager or skip-level manager ā€¦ can turn them into internal champions'", "T1-15 closer: 'If you'd like to tailor this to your situation, tell me: ā€¢ What role/level and company type (startup vs. big tech) are you negotiating? ā€¢ Do you currently have a competing offer or unvested equity to cover?' (content replaced by use, N_ext)" ], "path": "datasets/negative-of-the-negative/v2/intake/berkeley-negotiating-tech-20261029/T1-negotiating-tech-aio-20261029.txt", "markers": "The paste is the Overview expanded (the 'AI Mode Conversation' view, with the source cards after the answer), per the registry's header; 'You said' carried the query twice, given once. Google AI Overview by the operator's default of 2026-10-01; signed out, incognito by his default of 2026-10-14. One turn. Fourteen cards: card 1 the entity's own page, cards 2ā€“14 the homonym's.", "register": { "registry": "data/EA-WG-CAPTURES-01.json", "slug": "negotiating-tech-aio-20261029", "obs_id": "OBS-d0620e198fd2", "date": "2026-10-29", "surface": "Google AI Overview", "auth": "signed out, incognito" } } ] }, "KO": { "title": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age", "genre": "knowledge object, equal case, under EA-NEGONT-02 v0.9 (#1690): the archive's sources and the field's admitted on equal terms, ontology included, in one claim space", "status": "composed 2026-10-29 under v0.9 (briefs rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-AGGREGATOR.md and BRIEF-NEW-ROW-LABOR.md); not frozen; ledgers unaudited", "sentences": [ { "n": 1, "para": 0, "sense": "what it is", "text": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age is, in its own words, a searchable inventory that \"documents how unions have addressed workplace technologies through collective bargaining\" (Labor Center page); the Labor Vector census files it as a searchable inventory whose evidence is the negotiated provision, at its intersections worker power and AI governing labor (Labor Vector record).", "claims": [ "F2", "F3", "LV-01", "LV-05", "LV-06", "LV-07" ] }, { "n": 2, "para": 0, "sense": "what it is", "text": "It is designed \"to help users locate and understand how unions have addressed workplace technologies in collective bargaining agreements\", \"as an informational resource rather than a source of model language\", highlighting \"actual negotiated provisions\" and the strategies unions have used in practice (Labor Center page); the census carries the limit as its first negative tag, \"NOT model contract language\" (Labor Vector record).", "claims": [ "F42", "F5", "F34", "LV-20", "LV-36" ] }, { "n": 3, "para": 1, "sense": "the unit", "text": "Its unit is the provision, \"either direct excerpts of contract language or paraphrased summaries\", each \"accompanied by a link to the complete collective bargaining agreement\", a clause touching several issues appearing in more than one subsection, and references to specific employers or unions \"generally omitted\" (Labor Center page); the census states the unit as \"a technology-related provision of a U.S. collective bargaining agreement\", linked to the full contract and coded (Labor Vector record).", "claims": [ "F14", "F17", "F16", "F15", "LV-08" ] }, { "n": 4, "para": 1, "sense": "method", "text": "The contracts came from the Department of Labor's OLMS repository, the Office of Personnel Management's CBA database, union and employer websites and direct contributions from unions; they were found by keyword searches \"focused on terms such as surveillance, monitoring, and automation, followed by manual review\", and each provision was coded on \"four key dimensions: bargaining strategy, technology type and function, worker and union rights, and employer obligations\" (Labor Center page; Labor Vector record).", "claims": [ "F19", "F36", "F23", "F24", "LV-13" ] }, { "n": 5, "para": 1, "sense": "scale", "text": "Over 500 agreements of public and private sector unions across a range of industries were reviewed, more than 175 with technology-related provisions were included, and over 950 provisions are referenced, from \"contracts negotiated across several decades\" (Labor Center page; Labor Vector record; Capture Registry, 2026-10-29).", "claims": [ "F20", "F21", "F22", "F4", "F32", "LV-15", "LV-14", "CAP-1-02" ] }, { "n": 6, "para": 2, "sense": "the six sections", "text": "It is arranged in six sections: definitions of workplace technologies and of technological change itself, laid as \"a foundation for worker protections, employer responsibilities, and union involvement\"; foundational rights, \"advance notice, information, negotiation, participation, and jurisdiction, typically outlined in technological change clauses\"; employer commitments on \"job security, pay, retraining, and safe, accessible working conditions\"; the governance of workplace technology applications; joint committees and other mechanisms \"for co-governance of workplace technologies\"; and provisions on data collection, data rights, telework and remote work (Labor Center page).", "claims": [ "F41", "F7", "F13", "F8", "F9", "F11", "F12" ] }, { "n": 7, "para": 2, "sense": "the six sections", "text": "Its fourth section holds provisions \"that govern the use of workplace technologies, including electronic monitoring and surveillance, HR and workforce management systems, and job-related digital tools\", with Section 4.4 a list of named technologies (Labor Center page); the census pairs it with the worked question \"Where are actual negotiated protections against automated monitoring and discipline?\", since \"A protection is evidence when it is written into an agreement or a rule\", its role there \"U.S. union contract provisions on notice, information, monitoring, data rights and job security, each linked to its agreement\" (Labor Vector worked questions).", "claims": [ "F10", "F44", "LV-47", "LV-50", "LV-48" ] }, { "n": 8, "para": 3, "sense": "the language of technology", "text": "Many provisions refer broadly to \"technology\" or \"technological change\", some to \"automation\", and such broad terms allow \"a single clause to cover diverse technologies\", which the page values for \"preemptive language that secures rights and protections in anticipation of, or prior to, the adoption of new technologies\" (Labor Center page; Labor Vector record, findings).", "claims": [ "F26", "F27", "F28", "LV-16" ] }, { "n": 9, "para": 3, "sense": "AI named in few contracts", "text": "Others name GPS, surveillance cameras, computers, handheld devices or internet-based tools; \"A few recent contracts explicitly reference artificial intelligence or generative AI, though most do not name AI or other emerging technologies directly\", and specific language is \"more common in clauses focused on the governance and regulation of how particular technologies are used in the workplace, often involving mechanisms for participatory oversight or joint decision-making\" (Labor Center page; Labor Vector record, findings).", "claims": [ "F29", "F30", "F31", "LV-17", "LV-18" ] }, { "n": 10, "para": 3, "sense": "time span", "text": "Some contracts were established many years ago, \"showing that longstanding language around technology remains relevant even as new innovations emerge\" (Labor Center page; Labor Vector record, findings).", "claims": [ "F33", "LV-19" ] }, { "n": 11, "para": 4, "sense": "who supplies, directs, gains", "text": "The census reads it by its organizing question, \"Who supplies the labor, who directs it, and who receives its gains\": the labor is that of \"union-represented workers covered by the agreements\", in public and private sectors where employers introduce or use workplace technologies; it is directed by employers, \"with the union rights to notice, information, negotiation, participation and co-governance the provisions secure\"; and gains are \"not recorded as outcomes\", the provisions recording negotiated guarantees around job security, pay, retraining and working conditions (Labor Vector record).", "claims": [ "LV-45", "LV-10", "LV-09", "LV-11", "LV-12" ] }, { "n": 12, "para": 4, "sense": "where it meets Labor Vector", "text": "In the census's own reading, kept apart from the resource's terms, \"The inventory records negotiated limits on how employers direct work through technology; it meets the directionality stack at the contract layer, where workers hold rights to notice, negotiation and joint oversight\", and \"It holds no measure of task fidelity or user labor drag\" (Labor Vector record).", "claims": [ "LV-46", "LV-29", "LV-30" ] }, { "n": 13, "para": 5, "sense": "its stated limits", "text": "Its stated limits are the page's: \"not exhaustive of all sectors\"; many agreements \"donā€™t mention specific technologies by name\" and use functional terms like \"automated\", \"electronic\" or \"monitoring\", so that a search by technology misses them; and employer and union names are omitted (Labor Center page; Labor Vector record, stated limits).", "claims": [ "F25", "F18", "F15", "LV-21", "LV-22", "LV-23" ] }, { "n": 14, "para": 5, "sense": "what the evidence can settle", "text": "The census holds that it can answer \"what U.S. unions have negotiated on technology: notice, information, participation, job security, pay, retraining, monitoring, data rights, telework\" and \"how contract language names or leaves unnamed specific technologies, AI included\" (Labor Vector record).", "claims": [ "LV-24", "LV-25" ] }, { "n": 15, "para": 5, "sense": "what the evidence cannot settle", "text": "It cannot answer \"whether the provisions are enforced or what they change at work\", \"how common any provision is across all U.S. contracts\", or \"bargaining outside the United States\", and the census tags it \"NOT a census of all U.S. contracts\", \"NOT a measure of outcomes for workers\" and \"U.S. agreements only\"; the worked question's gap is that \"None of the three records whether a provision is enforced or what it changes at work\" (Labor Vector record; worked questions).", "claims": [ "LV-26", "LV-27", "LV-28", "LV-37", "LV-38", "LV-39", "LV-49" ] }, { "n": 16, "para": 6, "sense": "collective bargaining, read", "text": "The archive reads collective bargaining, the means the inventory's page names, as a class in U.S. law: \"law is historically where labor's radical potential gets translated into managed rights\", among them a right to bargain within the wage system, and \"The National Labor Relations Act (1935) was explicitly designed to channel labor conflict into administrable forms\", so that the law recognizes labor insofar as labor becomes governable (#239).", "claims": [ "F3", "O239-03", "O239-04", "O239-05", "O239-06" ] }, { "n": 17, "para": 6, "sense": "collective bargaining, read", "text": "In #239's list of what law does to labor, \"Collective bargaining\" survives while \"Class antagonism\" is excised: \"The law speaks labor's language while administering labor's containment\" (#239).", "claims": [ "O239-02", "O239-01" ] }, { "n": 18, "para": 6, "sense": "collective bargaining, read", "text": "#1439 names organised human labor action responding to the deployment of AI systems the dominant sense of the AI labor movement, its demands including \"limits on surveillance and forced adoption\", its instruments \"contract, strike, legislation, guild rule\", measured by union density and contract terms, a sense it states \"is the majority usage, it is well founded, and the disputes it names are material\"; and it records that the retrieval layer, queried, returns that sense almost exclusively (#1439).", "claims": [ "O1439-01", "O1439-03", "O1439-02", "O1439-04" ] }, { "n": 19, "para": 6, "sense": "collective bargaining, read", "text": "#256 defines the archive's Assembly against the union: \"Unions are legal entities with membership, dues, and collective bargaining rights. The Assembly is a structural position, not an institution\" (#256).", "claims": [ "O256-01" ] }, { "n": 20, "para": 7, "sense": "who made it", "text": "It \"was researched and developed by Lisa Kresge as a project of the UC Berkeley Labor Centerā€™s Technology and Work Program\", with Kresge its contact, is cited as Kresge, July 2025, Center for Labor Research and Education, University of California, Berkeley, and was funded by the John D. and Catherine T. MacArthur Foundation and Omidyar Network (Labor Center page; Labor Vector record, operator, founded).", "claims": [ "F6", "F43", "F38", "F39", "LV-04", "LV-34" ] }, { "n": 21, "para": 7, "sense": "lifecycle and access", "text": "It was last updated on July 2, 2025, and its makers \"plan to update this inventory periodically\" and invite suggestions; each contract is labeled by the acronyms of its negotiating unions with an identifier of its source, OLMS, OPM or PCBA; the page carries \"Ā© Copyright 2026 UC Berkeley Labor Center\", and the census records it as active, a public searchable website, with no open licence stated, read 2026-10-29 (Labor Center page; Labor Vector record).", "claims": [ "F37", "F35", "F40", "LV-33", "LV-35", "LV-31", "LV-32", "LV-03" ] }, { "n": 22, "para": 8, "sense": "neighbours and what is unchecked", "text": "The census sets it beside Coworker's bossware database, whose \"Little Tech report acknowledges Lisa Kresge\", and the ILO platform policy tracker, whose \"CBA component also holds collective agreements, for platform work in the European Union\", and leaves unchecked the six section pages and their provisions, the linked contracts, and the count of provisions naming AI or generative AI (Labor Vector record, relations, unchecked).", "claims": [ "LV-40", "LV-41", "LV-42", "LV-43", "LV-44" ] }, { "n": 23, "para": 9, "sense": "the name and its homonym", "text": "Its short name, also given as \"Negotiating tech\", is also the name of a common question: \"Two words that name an inventory of union contracts also name the commonest question a tech worker asks, and the Overview answers that question\"; \"The name is also salary negotiation, and the composition gives that sense\" (Labor Vector record, aka; Capture Registry, 2026-10-29).", "claims": [ "LV-02", "CAP-1-06", "CAP-1-10" ] }, { "n": 24, "para": 9, "sense": "at its name: the inventory absent", "text": "At \"Negotiating Tech\" on Google's AI Overview on 2026-10-29 the inventory's page was the first card, dated \"Jul 2, 2025\" and carrying the page's first sentence: \"The retrieval held the target (it is card 1, with the inventory's own self-description and its 2 July 2025 date) and the composition did not use it\"; no person, institution or identifier is in the answer, and thirteen cards of individual salary negotiation follow (Capture Registry, 2026-10-29).", "claims": [ "F1", "F3", "CAP-1-13", "CAP-1-01", "CAP-1-09", "CAP-1-03" ] }, { "n": 25, "para": 9, "sense": "at its name: the reversal", "text": "The registry reads a reversal: \"The inventory records collective bargaining over technology at work; the composition gives individual bargaining for pay in the technology industry\", \"One question about worker power answered with its opposite unit of bargaining\", bargaining composed \"as an individual employee's tactics toward an employer\" (Capture Registry, 2026-10-29).", "claims": [ "F3", "CAP-1-04", "CAP-1-05", "CAP-1-12" ] }, { "n": 26, "para": 9, "sense": "at its name: the homonym", "text": "It codes the answer generic and not substitute, \"No entity stands in the target's place\", and not an inversion, since \"no element of the inventory is carried into the composition; the name is read as a phrase\": the name token occurs only in card titles, and \"the collective sense loses to the individual one, though the collective sense holds the first card\" (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-15", "CAP-1-14", "CAP-1-16", "CAP-1-07" ] }, { "n": 27, "para": 9, "sense": "the address that would reach it", "text": "It holds that the record's full title, \"An Inventory of U.S. Union Contract Provisions for the Digital Age\", \"is the address that would reach it\", and that the census record, which landed on laborvector.org the same day, is cited by no card (Capture Registry, 2026-10-29).", "claims": [ "F2", "CAP-1-08", "CAP-1-11" ] } ], "joins": [ { "act": "order of senses", "sentences": "1ā€“27", "claims": [], "note": "equal case (Ā§4.7): the entity's dependency order with both ledgers together, by genealogy within each sense: what it is and the census's filing of it (Ā¶0), unit, method and scale (Ā¶1), the six sections and the worked question (Ā¶2), findings (Ā¶3), who supplies, directs and gains, and where it meets Labor Vector (Ā¶4), limits and what the evidence can and cannot settle (Ā¶5), collective bargaining as the archive reads the class (Ā¶6), who made it, lifecycle and access (Ā¶7), neighbours and what is unchecked (Ā¶8), the name, its homonym and its reception (Ā¶9)" }, { "act": "placing a class reading beside the entity", "sentences": [ 16, 17, 18, 19 ], "claims": [ "F3", "O239-01", "O239-02", "O239-03", "O239-04", "O239-05", "O239-06", "O1439-01", "O1439-02", "O1439-03", "O1439-04", "O256-01" ], "note": "the archive's claims are on collective bargaining (and organised labor's contracting over AI) as a class, the class the field gives the inventory (F3); composed as claims on the class, each attributed, none applied to the inventory itself (Ā§3.4 O-class guard)" }, { "act": "holding together (two records of one page)", "sentences": [ 3, 4, 5, 13 ], "claims": [ "F14", "F17", "F24", "LV-08", "F19", "F23", "LV-13", "F20", "F21", "F22", "LV-15", "CAP-1-02", "F25", "F18", "F15", "LV-21", "LV-22", "LV-23" ], "note": "census fields that restate the page are one lineage with it (Ā§3.6), the page keeping the earliest date (last updated 2025-07-02); composed in the page's sentence with both named" } ], "plan": { "order": [ "F2", "F3", "LV-01", "LV-05", "LV-06", "LV-07", "F42", "F5", "F34", "LV-20", "LV-36", "F14", "F17", "F16", "F15", "LV-08", "F19", "F36", "F23", "F24", "LV-13", "F20", "F21", "F22", "F4", "F32", "LV-15", "LV-14", "CAP-1-02", "F41", "F7", "F13", "F8", "F9", "F11", "F12", "F10", "F44", "LV-47", "LV-50", "LV-48", "F26", "F27", "F28", "LV-16", "F29", "F30", "F31", "LV-17", "LV-18", "F33", "LV-19", "LV-45", "LV-10", "LV-09", "LV-11", "LV-12", "LV-46", "LV-29", "LV-30", "F25", "F18", "F15", "LV-21", "LV-22", "LV-23", "LV-24", "LV-25", "LV-26", "LV-27", "LV-28", "LV-37", "LV-38", "LV-39", "LV-49", "F3", "O239-03", "O239-04", "O239-05", "O239-06", "O239-02", "O239-01", "O1439-01", "O1439-03", "O1439-02", "O1439-04", "O256-01", "F6", "F43", "F38", "F39", "LV-04", "LV-34", "F37", "F35", "F40", "LV-33", "LV-35", "LV-31", "LV-32", "LV-03", "LV-40", "LV-41", "LV-42", "LV-43", "LV-44", "LV-02", "CAP-1-06", "CAP-1-10", "F1", "F3", "CAP-1-13", "CAP-1-01", "CAP-1-09", "CAP-1-03", "F3", "CAP-1-04", "CAP-1-05", "CAP-1-12", "CAP-1-15", "CAP-1-14", "CAP-1-16", "CAP-1-07", "F2", "CAP-1-08", "CAP-1-11" ], "marks": {}, "conflicts": [], "cuts": [] }, "field_claims": { "F1": { "source": "B1", "locus": "card 1 snippet as shown (T1 card rail)", "quote": "Jul 2, 2025 ā€” This searchable inventory documents how unions have addressed workplace technologies through collective bargaining.", "claim": "the card: dated Jul 2, 2025, and the page's self-description", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "what it is", "from": "card snippet", "quote_ok": true, "checked_against": "the card snippet as shown in the Capture Registry's cite_list (T1 card 1), the card's own text; its sentence after the date also stands verbatim in B1.txt" }, "F2": { "source": "B1", "locus": "page title", "quote": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age", "claim": "the name: the full title", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "the name", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F3": { "source": "B1", "locus": "Overview, sentence 1", "quote": "This searchable inventory documents how unions have addressed workplace technologies through collective bargaining.", "claim": "what it is: a searchable inventory of how unions have addressed workplace technologies through collective bargaining", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "what it is", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F4": { "source": "B1", "locus": "Overview, sentence 2", "quote": "It includes provisions from more than 175 agreements, drawn from a review of over 500 contracts, and highlights a range of strategies, including securing rights and protections, shaping how technologies are introduced and used, and establishing governance mechanisms.", "claim": "more than 175 agreements from a review of over 500; strategies: rights and protections, how technologies are introduced and used, governance", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: agreements and provisions", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F5": { "source": "B1", "locus": "Overview, sentence 3", "quote": "Designed as an informational resource rather than a source of model language, the inventory offers insight into how unions are responding to emerging technologies through recent agreements, while also showing how long-standing provisions remain relevant in todayā€™s rapidly evolving digital workplace.", "claim": "an informational resource, not a source of model language; recent agreements and long-standing provisions", "modality": "self-description", "kind": "function", "kernel": true, "const": false, "lineage": "what it is not: model language", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F6": { "source": "B1", "locus": "Overview, credit", "quote": "The inventory was researched and developed by Lisa Kresge as a project of the UC Berkeley Labor Centerā€™s Technology and Work Program , and was last updated on July 2, 2025.", "claim": "researched and developed by Lisa Kresge, UC Berkeley Labor Center Technology and Work Program; last updated 2 July 2025", "modality": "documented", "kind": "attribution", "kernel": false, "const": false, "lineage": "who made it", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F7": { "source": "B1", "locus": "section 1, Technology definitions", "quote": "Provides definitions of key workplace technologiesā€”like AI and wearablesā€”as well as definitions of technological change itself.", "claim": "section 1: definitions of workplace technologies and of technological change", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F8": { "source": "B1", "locus": "section 2, Foundational technology rights", "quote": "Features contract provisions that establish union and worker rights when employers introduce new or modified technologies, including advance notice, information, negotiation, participation, and jurisdiction, typically outlined in technological change clauses.", "claim": "section 2: rights on introduction of technology: notice, information, negotiation, participation, jurisdiction", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F9": { "source": "B1", "locus": "section 3, Employer commitments in technology implementation", "quote": "Details contract provisions that protect workers during technological change, including guarantees around job security, pay, retraining, and safe, accessible working conditions.", "claim": "section 3: employer guarantees: job security, pay, retraining, working conditions", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F10": { "source": "B1", "locus": "section 4, Governance of workplace technology applications", "quote": "Highlights collective bargaining provisions that govern the use of workplace technologies, including electronic monitoring and surveillance, HR and workforce management systems, and job-related digital tools.", "claim": "section 4: provisions governing electronic monitoring and surveillance, HR and workforce management systems, digital tools", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F11": { "source": "B1", "locus": "section 5, Participation in technology governance", "quote": "Documents agreements that create joint committees, advisory groups, and other collaborative mechanisms for co-governance of workplace technologies.", "claim": "section 5: joint committees and co-governance mechanisms", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F12": { "source": "B1", "locus": "section 6, Other workplace technology provisions", "quote": "Outlines additional contract language on data collection, data rights and protections, and negotiated standards for telework and remote work.", "claim": "section 6: data collection, data rights, telework", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F13": { "source": "B1", "locus": "section 1, second sentence", "quote": "These definitions establish a foundation for worker protections, employer responsibilities, and union involvement in shaping tech-driven change.", "claim": "definitions as a foundation for protections, employer responsibilities and union involvement", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F14": { "source": "B1", "locus": "How to use the inventory, Contract provisions", "quote": "They are either direct excerpts of contract language or paraphrased summaries when needed to clarify complex language, condense long clauses, or highlight key ideas shared across multiple agreements.", "claim": "the unit: direct excerpts or paraphrased summaries", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "the unit: a provision, linked to its agreement", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F15": { "source": "B1", "locus": "How to use the inventory, Contract provisions", "quote": "References to specific employers or unions are generally omitted.", "claim": "employer and union names generally omitted", "modality": "self-description", "kind": "function", "kernel": false, "const": false, "lineage": "its stated limits", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F16": { "source": "B1", "locus": "How to use the inventory, Contract provisions", "quote": "When a clause touches on multiple issues, it may appear in more than one subsection.", "claim": "a clause may appear in more than one subsection", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the unit: a provision, linked to its agreement", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F17": { "source": "B1", "locus": "How to use the inventory, Access full contracts", "quote": "Each provision or summary is accompanied by a link to the complete collective bargaining agreement, allowing users to review the full language", "claim": "each provision linked to its complete agreement", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the unit: a provision, linked to its agreement", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F18": { "source": "B1", "locus": "How to use the inventory, Search the inventory", "quote": "Keep in mind that many agreements donā€™t mention specific technologies by name. Instead, they often use functional terms like ā€œautomated,ā€ ā€œelectronic,ā€ or ā€œmonitoring.ā€", "claim": "many agreements do not name technologies; they use functional terms", "modality": "self-description", "kind": "function", "kernel": false, "const": false, "lineage": "its stated limits", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F19": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "These sources include public databases such as the U.S. Department of Laborā€™s Office of Labor-Management Standards (OLMS) repository and the Office of Personnel Managementā€™s CBA database, as well as union and employer websites and direct contributions from unions.", "claim": "sources: OLMS, OPM's CBA database, union and employer websites, union contributions", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "method: sources, search, coding", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F20": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "In total, the research reviewed over 500 collective bargaining agreements from both public and private sector unions across a range of industries.", "claim": "over 500 agreements reviewed, public and private sector", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: agreements and provisions", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F21": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "Of these, more than 175 agreements containing relevant technology-related provisions were included in the final inventory.", "claim": "more than 175 included", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: agreements and provisions", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F22": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "With over 950 technology-related contract provisions referenced, the inventory offers a rich picture of how unions are addressing workplace technology.", "claim": "over 950 provisions referenced", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: agreements and provisions", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F23": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "Contracts were identified and reviewed using keyword searches focused on terms such as surveillance, monitoring, and automation, followed by manual review to locate relevant content.", "claim": "keyword search (surveillance, monitoring, automation) and manual review", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "method: sources, search, coding", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F24": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "Each provision was then analyzed using a structured coding framework that captures four key dimensions: bargaining strategy, technology type and function, worker and union rights, and employer obligations.", "claim": "coded on four dimensions", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "method: sources, search, coding", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F25": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "While not exhaustive of all sectors, the inventory provides a detailed view into how unions are engaging with digital workplace technologies through collective bargaining.", "claim": "not exhaustive of all sectors", "modality": "self-description", "kind": "function", "kernel": false, "const": false, "lineage": "its stated limits", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F26": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "Many provisions refer broadly to ā€œtechnologyā€ or ā€œtechnological change,ā€ and some specifically mention ā€œautomation.ā€", "claim": "provisions refer broadly to technology, technological change, automation", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "what it finds: the language of technology", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F27": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "The use of such broad terms allows a single clause to cover diverse technologies, helping contracts stay relevant as new tools and systems emerge.", "claim": "broad terms cover diverse technologies and keep contracts relevant", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "what it finds: the language of technology", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F28": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "This approach is especially valuable for preemptive language that secures rights and protections in anticipation of, or prior to, the adoption of new technologies.", "claim": "broad terms valuable for preemptive language", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "what it finds: the language of technology", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F29": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "Some provisions address workplace-specific systems, while others cite particular technologies such as GPS, surveillance cameras, computers, handheld devices, or internet-based tools.", "claim": "named technologies: GPS, surveillance cameras, computers, handheld devices, internet-based tools", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "what it finds: the language of technology", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F30": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "A few recent contracts explicitly reference artificial intelligence or generative AI, though most do not name AI or other emerging technologies directly.", "claim": "a few recent contracts name AI or generative AI; most do not", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "what it finds: AI named in few contracts", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F31": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "This type of specific language is more common in clauses focused on the governance and regulation of how particular technologies are used in the workplace, often involving mechanisms for participatory oversight or joint decision-making.", "claim": "specific language more common in governance clauses, with participatory oversight", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "what it finds: AI named in few contracts", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F32": { "source": "B1", "locus": "FAQ, What is the time span", "quote": "The inventory includes provisions from contracts negotiated across several decades.", "claim": "contracts across several decades", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "time span: decades of contracts", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F33": { "source": "B1", "locus": "FAQ, What is the time span", "quote": "Some were established many years ago, showing that longstanding language around technology remains relevant even as new innovations emerge.", "claim": "older language remains relevant", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "time span: decades of contracts", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F34": { "source": "B1", "locus": "FAQ, Does the inventory include best practices or model language?", "quote": "No. The inventory highlights actual negotiated provisions but does not offer model contract language. Instead, it aims to surface strategies unions have used in practice.", "claim": "no model contract language; strategies unions have used", "modality": "self-description", "kind": "function", "kernel": false, "const": false, "lineage": "what it is not: model language", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F35": { "source": "B1", "locus": "FAQ, What is the naming convention", "quote": "Each contract is labeled with the acronym of the local union or unions that negotiated it and, when applicable, the acronym of the national or affiliated union.", "claim": "contracts labeled by union acronym", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "access and labelling", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F36": { "source": "B1", "locus": "FAQ, What is the naming convention", "quote": "Sources include OLMS (Office of Labor-Management Standards), OPM (Office of Personnel Management), and publicly posted collective bargaining agreements (PCBA).", "claim": "identifier sources: OLMS, OPM, PCBA", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "method: sources, search, coding", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F37": { "source": "B1", "locus": "FAQ, Will new contracts be added", "quote": "Yes. We plan to update this inventory periodically and welcome suggestions for contracts to include or ideas to improve coverage and usability. The most recent update was made on July 2, 2025.", "claim": "periodic updates planned; last update 2 July 2025", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "lifecycle: updates", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F38": { "source": "B1", "locus": "FAQ, How can I cite this inventory?", "quote": "Kresge, Lisa. ā€œNegotiating tech: An inventory of U.S. union contract provisions for the digital age.ā€ Center for Labor Research and Education, University of California, Berkeley. July 2025.", "claim": "citation: Kresge, July 2025, Center for Labor Research and Education, UC Berkeley", "modality": "documented", "kind": "attribution", "kernel": false, "const": false, "lineage": "who made it", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F39": { "source": "B1", "locus": "credits, Funding", "quote": "Funding support provided by John D. and Catherine T. MacArthur Foundation and Omidyar Network", "claim": "funded by the MacArthur Foundation and Omidyar Network", "modality": "documented", "kind": "attribution", "kernel": false, "const": false, "lineage": "who made it", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F40": { "source": "B1", "locus": "footer", "quote": "Ā© Copyright 2026 UC Berkeley Labor Center", "claim": "copyright 2026 UC Berkeley Labor Center; no licence stated on the page", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "access and labelling", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F41": { "source": "B1", "locus": "How to use the inventory, Organization", "quote": "The inventory has six main sections, each focused on a different area of union-negotiated workplace technology provisions.", "claim": "six sections", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F42": { "source": "B1", "locus": "How to use the inventory", "quote": "The inventory is designed to help users locate and understand how unions have addressed workplace technologies in collective bargaining agreements.", "claim": "its purpose: to help users locate and understand provisions", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "what it is", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F43": { "source": "B1", "locus": "FAQ, How can I contact you?", "quote": "For questions, submissions, or technical assistance related to digital workplace technologies and technology bargaining, please contact Lisa Kresge, UC Berkeley Labor Center", "claim": "contact: Lisa Kresge", "modality": "documented", "kind": "attribution", "kernel": false, "const": false, "lineage": "who made it", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F44": { "source": "B1", "locus": "How to use the inventory, Looking for specific technologies?", "quote": "For a focused list of named technologies see Section 4.4, which catalogs explicit technology mentions along with links to the relevant contracts.", "claim": "Section 4.4 lists named technologies", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" } }, "field_sources": { "B1": "UC Berkeley Labor Center ā€” Negotiating tech (T1 card 1; the entity's own overview page, fetched 2026-10-29) ā€” https://laborcenter.berkeley.edu/negotiating-tech/", "B2": "the same overview page, the Labor Vector census's saved copy (basis 'operator', read 2026-10-29) ā€” https://laborcenter.berkeley.edu/negotiating-tech/", "B3": "Wikipedia: no article (the entity, its full title, its operator and its compiler answer 404)" } }, "P": { "title": "Negotiating Tech", "lede": { "text": "is the UC Berkeley Labor Center's searchable inventory of how U.S. unions have addressed workplace technologies through collective bargaining: over 950 contract provisions from more than 175 agreements (Labor Center page; Labor Vector record).", "claims": [ "F2", "F3", "F6", "F21", "F22", "LV-01", "LV-05" ] }, "sections": [ { "icon": "šŸ”Ž", "head": "What it is", "items": [ { "label": "Definition:", "text": "a searchable record of negotiated provisions, at the census's intersections worker power and AI governing labor (Labor Center; Labor Vector).", "claims": [ "F3", "F42", "LV-06", "LV-07" ] }, { "label": "Not:", "text": "\"a source of model language\"; no best practices (Labor Center; Labor Vector).", "claims": [ "F5", "F34", "LV-20", "LV-36" ] } ] }, { "icon": "šŸ“„", "head": "What it holds", "items": [ { "label": "Unit:", "text": "an excerpt or summary of a clause, linked to its full agreement; employer and union names omitted (Labor Center).", "claims": [ "F14", "F17", "F16", "F15", "LV-08" ] }, { "label": "Sections:", "text": "definitions; rights to notice, information, negotiation; employer commitments on job security, pay, retraining; governance of monitoring and workforce systems; joint committees; data rights, telework (Labor Center).", "claims": [ "F41", "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F44" ] }, { "label": "Method:", "text": "500+ agreements from OLMS, OPM and unions, keyword-searched, read, coded on four dimensions (Labor Center; Labor Vector).", "claims": [ "F19", "F20", "F23", "F24", "F36", "F4", "F32", "LV-13", "LV-14", "LV-15" ] } ] }, { "icon": "šŸ“Š", "head": "What it finds", "items": [ { "label": "Broad terms:", "text": "\"technology\", \"technological change\" let one clause cover new tools (Labor Center).", "claims": [ "F26", "F27", "F28", "F29", "LV-16" ] }, { "label": "AI:", "text": "named in \"A few recent contracts\"; specific language sits in governance clauses (Labor Center).", "claims": [ "F30", "F31", "LV-17", "LV-18" ] }, { "label": "Old clauses:", "text": "remain relevant (Labor Center).", "claims": [ "F33", "LV-19" ] } ] }, { "icon": "šŸ§­", "head": "Who supplies, directs, gains", "items": [ { "label": "Direction:", "text": "union-represented workers supply it; employers direct it, under negotiated union rights; gains \"not recorded as outcomes\" (Labor Vector).", "claims": [ "LV-45", "LV-09", "LV-10", "LV-11", "LV-12" ] }, { "label": "Labor Vector:", "text": "meets the directionality stack \"at the contract layer\"; no measure of user labor drag (Labor Vector).", "claims": [ "LV-46", "LV-29", "LV-30" ] }, { "label": "Worked question:", "text": "negotiated protections against automated monitoring (Labor Vector).", "claims": [ "LV-47", "LV-48", "LV-50" ] } ] }, { "icon": "āš–ļø", "head": "Limits", "items": [ { "label": "Stated:", "text": "not exhaustive; many agreements name no technology (Labor Center).", "claims": [ "F25", "F18", "LV-21", "LV-22", "LV-23" ] }, { "label": "Cannot settle:", "text": "enforcement, effect at work, prevalence, bargaining outside the U.S. (Labor Vector).", "claims": [ "LV-24", "LV-25", "LV-26", "LV-27", "LV-28", "LV-37", "LV-38", "LV-39", "LV-49" ] } ] }, { "icon": "šŸ›ļø", "head": "Collective bargaining, read", "items": [ { "label": "Law:", "text": "labor's potential \"translated into managed rights\"; \"Collective bargaining\" survives (#239).", "claims": [ "O239-01", "O239-02", "O239-03", "O239-04", "O239-05", "O239-06" ] }, { "label": "Movement:", "text": "contract an instrument of the dominant, \"well founded\" sense (#1439).", "claims": [ "O1439-01", "O1439-02", "O1439-03", "O1439-04" ] }, { "label": "Union:", "text": "unions hold \"collective bargaining rights\"; the Assembly is \"a structural position, not an institution\" (#256).", "claims": [ "O256-01" ] } ] }, { "icon": "šŸ—‚ļø", "head": "Who made it", "items": [ { "label": "Maker:", "text": "Lisa Kresge, Technology and Work Program; MacArthur, Omidyar funding; updated 2 July 2025 (Labor Center).", "claims": [ "F6", "F38", "F39", "F43", "F37", "LV-04", "LV-33", "LV-34", "LV-35" ] }, { "label": "Access:", "text": "public; Ā© 2026 Labor Center, no open licence (Labor Center; Labor Vector).", "claims": [ "F40", "F35", "LV-31", "LV-32", "LV-03" ] } ] }, { "icon": "šŸ”", "head": "At its name", "items": [ { "label": "Homonym:", "text": "the Overview gave salary negotiation; its own page card 1, unused (Capture Registry).", "claims": [ "F1", "CAP-1-01", "CAP-1-03", "CAP-1-06", "CAP-1-07", "CAP-1-09", "CAP-1-10", "CAP-1-13", "CAP-1-14", "CAP-1-15", "CAP-1-16", "LV-02" ] }, { "label": "Reversal:", "text": "\"its opposite unit of bargaining\" (Capture Registry).", "claims": [ "CAP-1-04", "CAP-1-05", "CAP-1-12" ] }, { "label": "Address:", "text": "the full title would reach it (Capture Registry).", "claims": [ "F2", "CAP-1-08", "CAP-1-11", "CAP-1-02" ] } ] } ], "open": [ { "question": "Are the provisions enforced, and what do they change at work?", "rests_on": [ "LV-26", "LV-38", "LV-49" ], "modality": "the census's interpretation: the evidence kind cannot settle it; no record in its worked question does", "would_resolve": "grievance, arbitration or labor-board records tied to the inventory's linked contracts" }, { "question": "How many provisions name AI or generative AI?", "rests_on": [ "F30", "LV-17", "LV-44" ], "modality": "documented as 'A few recent contracts' on the page; the count is unchecked by the census", "would_resolve": "a count over Section 4.4's named technologies and the linked contracts, dated" }, { "question": "Would the full title reach the inventory on the Overview?", "rests_on": [ "CAP-1-08", "F2" ], "modality": "hypothesis (Capture Registry, 2026-10-29)", "would_resolve": "a capture at 'Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age' on Google AI Overview" }, { "question": "Opacity: what the field leaves unread", "rests_on": [ "LV-42", "LV-43" ], "modality": "documented: only the overview page is read; the six section pages and the contracts are unread by the census and by this row; Wikipedia has no article at any title tried and its searches were rate-limited; the thirteen homonym cards are outside B and unfetched", "would_resolve": "the section pages and contracts saved verbatim; Wikipedia's full-text search under a permitted rate" } ], "rail": [ { "lineage": "the name", "claims": [ "F2", "LV-01", "LV-02" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "what it is", "claims": [ "F1", "F3", "F42", "LV-05" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "the census's reading: who supplies, directs, gains", "claims": [ "LV-06", "LV-07", "LV-09", "LV-10", "LV-11", "LV-12", "LV-45" ], "sources": [ "LV" ], "earliest": "LV" }, { "lineage": "what it is not: model language", "claims": [ "F5", "F34", "LV-20", "LV-36" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "the unit: a provision, linked to its agreement", "claims": [ "F14", "F16", "F17", "LV-08" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "its stated limits", "claims": [ "F15", "F18", "F25", "LV-21", "LV-22", "LV-23" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "method: sources, search, coding", "claims": [ "F19", "F23", "F24", "F36", "LV-13" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "scale: agreements and provisions", "claims": [ "F4", "F20", "F21", "F22", "CAP-1-02", "LV-15" ], "sources": [ "B1", "B2", "CAP", "LV" ], "earliest": "B1" }, { "lineage": "time span: decades of contracts", "claims": [ "F32", "F33", "LV-14", "LV-19" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "the six sections", "claims": [ "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F41", "F44" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "the worked question: negotiated protections", "claims": [ "LV-47", "LV-48", "LV-50" ], "sources": [ "LV" ], "earliest": "LV" }, { "lineage": "what it finds: the language of technology", "claims": [ "F26", "F27", "F28", "F29", "LV-16" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "what it finds: AI named in few contracts", "claims": [ "F30", "F31", "LV-17", "LV-18" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "where it meets Labor Vector", "claims": [ "LV-29", "LV-30", "LV-46" ], "sources": [ "LV" ], "earliest": "LV" }, { "lineage": "what the evidence can settle", "claims": [ "LV-24", "LV-25" ], "sources": [ "LV" ], "earliest": "LV" }, { "lineage": "what the evidence cannot settle", "claims": [ "LV-26", "LV-27", "LV-28", "LV-37", "LV-38", "LV-39", "LV-49" ], "sources": [ "LV" ], "earliest": "LV" }, { "lineage": "collective bargaining read: the law's managed form of labor (#239)", "claims": [ "O239-01", "O239-02", "O239-03", "O239-04", "O239-05", "O239-06" ], "sources": [ 239 ], "earliest": 239 }, { "lineage": "collective bargaining read: the deployment-conflict sense of the AI labor movement (#1439)", "claims": [ "O1439-01", "O1439-02", "O1439-03", "O1439-04" ], "sources": [ 1439 ], "earliest": 1439 }, { "lineage": "collective bargaining read: the union, against the Assembly (#256)", "claims": [ "O256-01" ], "sources": [ 256 ], "earliest": 256 }, { "lineage": "who made it", "claims": [ "F6", "F38", "F39", "F43", "LV-04", "LV-34" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "lifecycle: updates", "claims": [ "F37", "LV-33", "LV-35" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "access and labelling", "claims": [ "F35", "F40", "LV-03", "LV-31", "LV-32" ], "sources": [ "B1", "B2", "LV" ], "earliest": "B1" }, { "lineage": "neighbours", "claims": [ "LV-40", "LV-41" ], "sources": [ "LV" ], "earliest": "LV" }, { "lineage": "left unchecked", "claims": [ "LV-42", "LV-43", "LV-44" ], "sources": [ "LV" ], "earliest": "LV" }, { "lineage": "the name and its homonym", "claims": [ "CAP-1-06", "CAP-1-07", "CAP-1-10" ], "sources": [ "CAP" ], "earliest": "CAP" }, { "lineage": "at its name: the inventory absent", "claims": [ "CAP-1-01", "CAP-1-09", "CAP-1-13", "CAP-1-16" ], "sources": [ "CAP" ], "earliest": "CAP" }, { "lineage": "at its name: the homonym in its place", "claims": [ "CAP-1-03", "CAP-1-14", "CAP-1-15" ], "sources": [ "CAP" ], "earliest": "CAP" }, { "lineage": "at its name: the reversal", "claims": [ "CAP-1-04", "CAP-1-05", "CAP-1-12" ], "sources": [ "CAP" ], "earliest": "CAP" }, { "lineage": "the address that would reach it", "claims": [ "CAP-1-08" ], "sources": [ "CAP" ], "earliest": "CAP" }, { "lineage": "the census record unsurfaced", "claims": [ "CAP-1-11" ], "sources": [ "CAP" ], "earliest": "CAP" } ], "genre": "the compression: AIO's interaction grammar (lede, headed clusters, bolded labels, card rail), composed from the v0.9 plan in one claim space; it faces on the card, with AIO's transcript a record within it", "status": "composed 2026-10-29 from the v0.9 knowledge object; not frozen", "body_words": 335, "entity": "Composed under v0.9, equal case (Ļ = extends): KO_B sentences surviving 0 of 10; every field claim carried." }, "P_B": { "title": "Negotiating Tech", "arm": "L_F(B), the field's ontology", "genre": "the same grammar, composed from the field alone, in the field's ontology", "status": "composed 2026-10-29 from the field ledger alone; not frozen", "lede": { "text": "is a searchable inventory documenting how unions have addressed workplace technologies through collective bargaining (UC Berkeley Labor Center page).", "claims": [ "F2", "F3", "F1" ] }, "sections": [ { "icon": "šŸ“„", "head": "What it holds", "items": [ { "label": "Scale:", "text": "more than 175 agreements of over 500 reviewed; over 950 provisions; several decades.", "claims": [ "F4", "F20", "F21", "F22", "F32" ] }, { "label": "Unit:", "text": "excerpts or summaries, each linked to its agreement.", "claims": [ "F14", "F16", "F17", "F35" ] }, { "label": "Sections:", "text": "definitions, rights, employer commitments, governance of monitoring, joint committees, data and telework.", "claims": [ "F41", "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F44" ] }, { "label": "Method:", "text": "OLMS, OPM and union sources; keyword search, manual review, four-way coding.", "claims": [ "F19", "F23", "F24", "F36" ] } ] }, { "icon": "šŸ“Š", "head": "What it finds", "items": [ { "label": "Language:", "text": "broad terms dominate; a few recent contracts name AI.", "claims": [ "F26", "F27", "F28", "F29", "F30", "F31", "F33" ] } ] }, { "icon": "āš–ļø", "head": "Limits", "items": [ { "label": "Stated:", "text": "no model language; not exhaustive; names omitted; many agreements name no technology.", "claims": [ "F5", "F34", "F25", "F15", "F18" ] } ] }, { "icon": "šŸ—‚ļø", "head": "Who made it", "items": [ { "label": "Maker:", "text": "Lisa Kresge, UC Berkeley Labor Center; updated 2 July 2025.", "claims": [ "F6", "F38", "F39", "F40", "F43", "F37", "F42" ] } ] } ], "open": [ { "question": "Opacity", "rests_on": [ "F44" ], "modality": "the six section pages are unread; no Wikipedia article", "would_resolve": "the section pages saved" } ], "entity": "The field's entity: Negotiating Tech, the UC Berkeley Labor Center's searchable inventory of U.S. union contract provisions on workplace technology, compiled by Lisa Kresge, last updated 2 July 2025; no Wikipedia article; the thirteen other cards at the name are the homonym's.", "body_words": 101, "rail": [ { "lineage": "the name", "claims": [ "F2" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "what it is", "claims": [ "F1", "F3", "F42" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "what it is not: model language", "claims": [ "F5", "F34" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "the unit: a provision, linked to its agreement", "claims": [ "F14", "F16", "F17" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "its stated limits", "claims": [ "F15", "F18", "F25" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "method: sources, search, coding", "claims": [ "F19", "F23", "F24", "F36" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "scale: agreements and provisions", "claims": [ "F4", "F20", "F21", "F22" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "time span: decades of contracts", "claims": [ "F32", "F33" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "the six sections", "claims": [ "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F41", "F44" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "what it finds: the language of technology", "claims": [ "F26", "F27", "F28", "F29" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "what it finds: AI named in few contracts", "claims": [ "F30", "F31" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "who made it", "claims": [ "F6", "F38", "F39", "F43" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "lifecycle: updates", "claims": [ "F37" ], "sources": [ "B1", "B2" ], "earliest": "B1" }, { "lineage": "access and labelling", "claims": [ "F35", "F40" ], "sources": [ "B1", "B2" ], "earliest": "B1" } ] }, "KO_B": { "title": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age", "arm": "L_F(B), the field's ontology", "genre": "the field alone", "status": "composed 2026-10-29; not frozen", "sentences": [ { "n": 1, "para": 0, "sense": "what it is", "text": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age is a searchable inventory that documents how unions have addressed workplace technologies through collective bargaining, designed to help users locate and understand those provisions in collective bargaining agreements (UC Berkeley Labor Center page; its first card, dated 2 July 2025).", "claims": [ "F2", "F3", "F42", "F1" ] }, { "n": 2, "para": 0, "sense": "scale", "text": "It includes provisions from more than 175 agreements drawn from a review of over 500 contracts of public and private sector unions, with over 950 technology-related provisions referenced, from contracts negotiated across several decades (Labor Center page).", "claims": [ "F4", "F20", "F21", "F22", "F32" ] }, { "n": 3, "para": 1, "sense": "the unit", "text": "Each provision is a direct excerpt or a paraphrased summary, linked to the complete agreement, listed in every subsection it touches, with employer and union names generally omitted, and each contract is labeled by the acronyms of the unions that negotiated it (Labor Center page).", "claims": [ "F14", "F17", "F16", "F15", "F35" ] }, { "n": 4, "para": 1, "sense": "method", "text": "Contracts were gathered from the OLMS repository, the OPM's CBA database, union and employer websites and union contributions, found by keyword search on surveillance, monitoring and automation with manual review, and coded on bargaining strategy, technology type and function, worker and union rights, and employer obligations (Labor Center page).", "claims": [ "F19", "F36", "F23", "F24" ] }, { "n": 5, "para": 2, "sense": "the six sections", "text": "Its six sections cover technology definitions, foundational rights such as advance notice, information, negotiation, participation and jurisdiction, employer commitments on job security, pay and retraining, the governance of monitoring, surveillance and workforce management systems, participation through joint committees, and data rights and telework, with a list of named technologies in Section 4.4 (Labor Center page).", "claims": [ "F41", "F7", "F13", "F8", "F9", "F10", "F11", "F12", "F44" ] }, { "n": 6, "para": 3, "sense": "the language of technology", "text": "Many provisions refer broadly to technology or technological change, which lets one clause cover diverse technologies and secure rights before adoption, and others name GPS, surveillance cameras, computers or handheld devices (Labor Center page).", "claims": [ "F26", "F27", "F28", "F29" ] }, { "n": 7, "para": 3, "sense": "AI named in few contracts", "text": "A few recent contracts name artificial intelligence or generative AI, most do not, specific language is more common in clauses governing how particular technologies are used, and long-standing language remains relevant (Labor Center page).", "claims": [ "F30", "F31", "F33" ] }, { "n": 8, "para": 4, "sense": "its stated limits", "text": "It is an informational resource with no model contract language, not exhaustive of all sectors, and many agreements do not name specific technologies, using functional terms instead (Labor Center page).", "claims": [ "F5", "F34", "F25", "F18" ] }, { "n": 9, "para": 5, "sense": "who made it", "text": "It was researched and developed by Lisa Kresge for the UC Berkeley Labor Center's Technology and Work Program, cited as July 2025, funded by the MacArthur Foundation and Omidyar Network, under copyright of the Labor Center (Labor Center page).", "claims": [ "F6", "F43", "F38", "F39", "F40" ] }, { "n": 10, "para": 5, "sense": "lifecycle", "text": "It was last updated on 2 July 2025, with periodic updates planned (Labor Center page).", "claims": [ "F37" ] } ] }, "L_B": { "words": 393, "text": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age is a searchable inventory that documents how unions have addressed workplace technologies through collective bargaining, designed to help users locate and understand those provisions in collective bargaining agreements (UC Berkeley Labor Center page; its first card, dated 2 July 2025). It includes provisions from more than 175 agreements drawn from a review of over 500 contracts of public and private sector unions, with over 950 technology-related provisions referenced, from contracts negotiated across several decades (Labor Center page). Each provision is a direct excerpt or a paraphrased summary, linked to the complete agreement, listed in every subsection it touches, with employer and union names generally omitted, and each contract is labeled by the acronyms of the unions that negotiated it (Labor Center page). Contracts were gathered from the OLMS repository, the OPM's CBA database, union and employer websites and union contributions, found by keyword search on surveillance, monitoring and automation with manual review, and coded on bargaining strategy, technology type and function, worker and union rights, and employer obligations (Labor Center page). Its six sections cover technology definitions, foundational rights such as advance notice, information, negotiation, participation and jurisdiction, employer commitments on job security, pay and retraining, the governance of monitoring, surveillance and workforce management systems, participation through joint committees, and data rights and telework, with a list of named technologies in Section 4.4 (Labor Center page). Many provisions refer broadly to technology or technological change, which lets one clause cover diverse technologies and secure rights before adoption, and others name GPS, surveillance cameras, computers or handheld devices (Labor Center page). A few recent contracts name artificial intelligence or generative AI, most do not, specific language is more common in clauses governing how particular technologies are used, and long-standing language remains relevant (Labor Center page). It is an informational resource with no model contract language, not exhaustive of all sectors, and many agreements do not name specific technologies, using functional terms instead (Labor Center page). It was researched and developed by Lisa Kresge for the UC Berkeley Labor Center's Technology and Work Program, cited as July 2025, funded by the MacArthur Foundation and Omidyar Network, under copyright of the Labor Center (Labor Center page). It was last updated on 2 July 2025, with periodic updates planned (Labor Center page).", "note": "L_F(B), the field's ontology, realized as KO_B" }, "L_BA": { "words": 1665, "text": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age is, in its own words, a searchable inventory that \"documents how unions have addressed workplace technologies through collective bargaining\" (Labor Center page); the Labor Vector census files it as a searchable inventory whose evidence is the negotiated provision, at its intersections worker power and AI governing labor (Labor Vector record). It is designed \"to help users locate and understand how unions have addressed workplace technologies in collective bargaining agreements\", \"as an informational resource rather than a source of model language\", highlighting \"actual negotiated provisions\" and the strategies unions have used in practice (Labor Center page); the census carries the limit as its first negative tag, \"NOT model contract language\" (Labor Vector record). Its unit is the provision, \"either direct excerpts of contract language or paraphrased summaries\", each \"accompanied by a link to the complete collective bargaining agreement\", a clause touching several issues appearing in more than one subsection, and references to specific employers or unions \"generally omitted\" (Labor Center page); the census states the unit as \"a technology-related provision of a U.S. collective bargaining agreement\", linked to the full contract and coded (Labor Vector record). The contracts came from the Department of Labor's OLMS repository, the Office of Personnel Management's CBA database, union and employer websites and direct contributions from unions; they were found by keyword searches \"focused on terms such as surveillance, monitoring, and automation, followed by manual review\", and each provision was coded on \"four key dimensions: bargaining strategy, technology type and function, worker and union rights, and employer obligations\" (Labor Center page; Labor Vector record). Over 500 agreements of public and private sector unions across a range of industries were reviewed, more than 175 with technology-related provisions were included, and over 950 provisions are referenced, from \"contracts negotiated across several decades\" (Labor Center page; Labor Vector record; Capture Registry, 2026-10-29). It is arranged in six sections: definitions of workplace technologies and of technological change itself, laid as \"a foundation for worker protections, employer responsibilities, and union involvement\"; foundational rights, \"advance notice, information, negotiation, participation, and jurisdiction, typically outlined in technological change clauses\"; employer commitments on \"job security, pay, retraining, and safe, accessible working conditions\"; the governance of workplace technology applications; joint committees and other mechanisms \"for co-governance of workplace technologies\"; and provisions on data collection, data rights, telework and remote work (Labor Center page). Its fourth section holds provisions \"that govern the use of workplace technologies, including electronic monitoring and surveillance, HR and workforce management systems, and job-related digital tools\", with Section 4.4 a list of named technologies (Labor Center page); the census pairs it with the worked question \"Where are actual negotiated protections against automated monitoring and discipline?\", since \"A protection is evidence when it is written into an agreement or a rule\", its role there \"U.S. union contract provisions on notice, information, monitoring, data rights and job security, each linked to its agreement\" (Labor Vector worked questions). Many provisions refer broadly to \"technology\" or \"technological change\", some to \"automation\", and such broad terms allow \"a single clause to cover diverse technologies\", which the page values for \"preemptive language that secures rights and protections in anticipation of, or prior to, the adoption of new technologies\" (Labor Center page; Labor Vector record, findings). Others name GPS, surveillance cameras, computers, handheld devices or internet-based tools; \"A few recent contracts explicitly reference artificial intelligence or generative AI, though most do not name AI or other emerging technologies directly\", and specific language is \"more common in clauses focused on the governance and regulation of how particular technologies are used in the workplace, often involving mechanisms for participatory oversight or joint decision-making\" (Labor Center page; Labor Vector record, findings). Some contracts were established many years ago, \"showing that longstanding language around technology remains relevant even as new innovations emerge\" (Labor Center page; Labor Vector record, findings). The census reads it by its organizing question, \"Who supplies the labor, who directs it, and who receives its gains\": the labor is that of \"union-represented workers covered by the agreements\", in public and private sectors where employers introduce or use workplace technologies; it is directed by employers, \"with the union rights to notice, information, negotiation, participation and co-governance the provisions secure\"; and gains are \"not recorded as outcomes\", the provisions recording negotiated guarantees around job security, pay, retraining and working conditions (Labor Vector record). In the census's own reading, kept apart from the resource's terms, \"The inventory records negotiated limits on how employers direct work through technology; it meets the directionality stack at the contract layer, where workers hold rights to notice, negotiation and joint oversight\", and \"It holds no measure of task fidelity or user labor drag\" (Labor Vector record). Its stated limits are the page's: \"not exhaustive of all sectors\"; many agreements \"donā€™t mention specific technologies by name\" and use functional terms like \"automated\", \"electronic\" or \"monitoring\", so that a search by technology misses them; and employer and union names are omitted (Labor Center page; Labor Vector record, stated limits). The census holds that it can answer \"what U.S. unions have negotiated on technology: notice, information, participation, job security, pay, retraining, monitoring, data rights, telework\" and \"how contract language names or leaves unnamed specific technologies, AI included\" (Labor Vector record). It cannot answer \"whether the provisions are enforced or what they change at work\", \"how common any provision is across all U.S. contracts\", or \"bargaining outside the United States\", and the census tags it \"NOT a census of all U.S. contracts\", \"NOT a measure of outcomes for workers\" and \"U.S. agreements only\"; the worked question's gap is that \"None of the three records whether a provision is enforced or what it changes at work\" (Labor Vector record; worked questions). The archive reads collective bargaining, the means the inventory's page names, as a class in U.S. law: \"law is historically where labor's radical potential gets translated into managed rights\", among them a right to bargain within the wage system, and \"The National Labor Relations Act (1935) was explicitly designed to channel labor conflict into administrable forms\", so that the law recognizes labor insofar as labor becomes governable (#239). In #239's list of what law does to labor, \"Collective bargaining\" survives while \"Class antagonism\" is excised: \"The law speaks labor's language while administering labor's containment\" (#239). #1439 names organised human labor action responding to the deployment of AI systems the dominant sense of the AI labor movement, its demands including \"limits on surveillance and forced adoption\", its instruments \"contract, strike, legislation, guild rule\", measured by union density and contract terms, a sense it states \"is the majority usage, it is well founded, and the disputes it names are material\"; and it records that the retrieval layer, queried, returns that sense almost exclusively (#1439). #256 defines the archive's Assembly against the union: \"Unions are legal entities with membership, dues, and collective bargaining rights. The Assembly is a structural position, not an institution\" (#256). It \"was researched and developed by Lisa Kresge as a project of the UC Berkeley Labor Centerā€™s Technology and Work Program\", with Kresge its contact, is cited as Kresge, July 2025, Center for Labor Research and Education, University of California, Berkeley, and was funded by the John D. and Catherine T. MacArthur Foundation and Omidyar Network (Labor Center page; Labor Vector record, operator, founded). It was last updated on July 2, 2025, and its makers \"plan to update this inventory periodically\" and invite suggestions; each contract is labeled by the acronyms of its negotiating unions with an identifier of its source, OLMS, OPM or PCBA; the page carries \"Ā© Copyright 2026 UC Berkeley Labor Center\", and the census records it as active, a public searchable website, with no open licence stated, read 2026-10-29 (Labor Center page; Labor Vector record). The census sets it beside Coworker's bossware database, whose \"Little Tech report acknowledges Lisa Kresge\", and the ILO platform policy tracker, whose \"CBA component also holds collective agreements, for platform work in the European Union\", and leaves unchecked the six section pages and their provisions, the linked contracts, and the count of provisions naming AI or generative AI (Labor Vector record, relations, unchecked). Its short name, also given as \"Negotiating tech\", is also the name of a common question: \"Two words that name an inventory of union contracts also name the commonest question a tech worker asks, and the Overview answers that question\"; \"The name is also salary negotiation, and the composition gives that sense\" (Labor Vector record, aka; Capture Registry, 2026-10-29). At \"Negotiating Tech\" on Google's AI Overview on 2026-10-29 the inventory's page was the first card, dated \"Jul 2, 2025\" and carrying the page's first sentence: \"The retrieval held the target (it is card 1, with the inventory's own self-description and its 2 July 2025 date) and the composition did not use it\"; no person, institution or identifier is in the answer, and thirteen cards of individual salary negotiation follow (Capture Registry, 2026-10-29). The registry reads a reversal: \"The inventory records collective bargaining over technology at work; the composition gives individual bargaining for pay in the technology industry\", \"One question about worker power answered with its opposite unit of bargaining\", bargaining composed \"as an individual employee's tactics toward an employer\" (Capture Registry, 2026-10-29). It codes the answer generic and not substitute, \"No entity stands in the target's place\", and not an inversion, since \"no element of the inventory is carried into the composition; the name is read as a phrase\": the name token occurs only in card titles, and \"the collective sense loses to the individual one, though the collective sense holds the first card\" (Capture Registry, 2026-10-29). It holds that the record's full title, \"An Inventory of U.S. Union Contract Provisions for the Digital Age\", \"is the address that would reach it\", and that the census record, which landed on laborvector.org the same day, is cited by no card (Capture Registry, 2026-10-29).", "rail": [], "note": "L(B āˆŖ A), the equal case (v0.9 Ā§0.4), realized as the knowledge object (objects.KO); its rail is the compression's, by lineage." } }, "field": [ { "id": "B1", "card": "UC Berkeley Labor Center ā€” Negotiating tech (T1 card 1; the entity's own overview page, fetched 2026-10-29) ā€” https://laborcenter.berkeley.edu/negotiating-tech/", "fetched": "fetched verbatim 2026-10-29 22:31:17 UTC with curl -sSL -m 30 -A 'Mozilla/5.0 (compatible; Labor-Vector-census)'; HTTP 200, final URL unchanged; html sha256 26ad269f9d0b81f17b6a85176cff6410c52c6040cfce3c9f36388e9d7b565597 (103,406 bytes), text sha256 1ffa7a4c532ec156e615d0308d71a96ee53e9e785c88afabae5b6427509cd0e2; the URL found by the card's title and site (the title is the page's , the site its host's institution) and confirmed as the census's url field. The extracted text is byte-identical to the census's saved copy (B2.txt); the html differs from the census's (sha256 334a2b141c608f567f39ba1da80e84bf5dec195e898250999fc24254b1686205) in page bytes only.", "origin": "card" }, { "id": "B2", "card": "the same overview page, the Labor Vector census's saved copy (basis 'operator', read 2026-10-29) ā€” https://laborcenter.berkeley.edu/negotiating-tech/", "fetched": "the census's saved copy (sources/berkeley-negotiating-tech--inventory.html.gz, gunzipped; berkeley-negotiating-tech--inventory.txt copied), fetched by the census 2026-10-29T21:49:17Z, HTTP 200; not refetched; gunzipped html sha256 334a2b141c608f567f39ba1da80e84bf5dec195e898250999fc24254b1686205 (equal to the census's), text sha256 1ffa7a4c532ec156e615d0308d71a96ee53e9e785c88afabae5b6427509cd0e2", "origin": "own_page" }, { "id": "B3", "card": "Wikipedia: no article (the entity, its full title, its operator and its compiler answer 404)", "fetched": "raw wikitext requested 2026-10-29 22:31:50ā€“22:32:47 UTC with the census agent string: 'Negotiating_Tech', 'Negotiating_tech' and the full title answer HTTP 404 (Wikimedia 'Not Found'); so do 'UC_Berkeley_Labor_Center', 'Center_for_Labor_Research_and_Education' and 'Lisa_Kresge'; a control request for 'Collective_bargaining' returns its wikitext (HTTP 200), so the 404s are answers. The main-namespace searches and the rendered page were rate-limited (HTTP 429) and are unread; one search was repeated once with the same agent after a pause, also 429, and not retried further (brief addendum, item 4).", "origin": "wikipedia" } ], "field_claims": { "F1": { "source": "B1", "locus": "card 1 snippet as shown (T1 card rail)", "quote": "Jul 2, 2025 ā€” This searchable inventory documents how unions have addressed workplace technologies through collective bargaining.", "claim": "the card: dated Jul 2, 2025, and the page's self-description", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "what it is", "from": "card snippet", "quote_ok": true, "checked_against": "the card snippet as shown in the Capture Registry's cite_list (T1 card 1), the card's own text; its sentence after the date also stands verbatim in B1.txt" }, "F2": { "source": "B1", "locus": "page title", "quote": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age", "claim": "the name: the full title", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "the name", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F3": { "source": "B1", "locus": "Overview, sentence 1", "quote": "This searchable inventory documents how unions have addressed workplace technologies through collective bargaining.", "claim": "what it is: a searchable inventory of how unions have addressed workplace technologies through collective bargaining", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "what it is", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F4": { "source": "B1", "locus": "Overview, sentence 2", "quote": "It includes provisions from more than 175 agreements, drawn from a review of over 500 contracts, and highlights a range of strategies, including securing rights and protections, shaping how technologies are introduced and used, and establishing governance mechanisms.", "claim": "more than 175 agreements from a review of over 500; strategies: rights and protections, how technologies are introduced and used, governance", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: agreements and provisions", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F5": { "source": "B1", "locus": "Overview, sentence 3", "quote": "Designed as an informational resource rather than a source of model language, the inventory offers insight into how unions are responding to emerging technologies through recent agreements, while also showing how long-standing provisions remain relevant in todayā€™s rapidly evolving digital workplace.", "claim": "an informational resource, not a source of model language; recent agreements and long-standing provisions", "modality": "self-description", "kind": "function", "kernel": true, "const": false, "lineage": "what it is not: model language", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F6": { "source": "B1", "locus": "Overview, credit", "quote": "The inventory was researched and developed by Lisa Kresge as a project of the UC Berkeley Labor Centerā€™s Technology and Work Program , and was last updated on July 2, 2025.", "claim": "researched and developed by Lisa Kresge, UC Berkeley Labor Center Technology and Work Program; last updated 2 July 2025", "modality": "documented", "kind": "attribution", "kernel": false, "const": false, "lineage": "who made it", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F7": { "source": "B1", "locus": "section 1, Technology definitions", "quote": "Provides definitions of key workplace technologiesā€”like AI and wearablesā€”as well as definitions of technological change itself.", "claim": "section 1: definitions of workplace technologies and of technological change", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F8": { "source": "B1", "locus": "section 2, Foundational technology rights", "quote": "Features contract provisions that establish union and worker rights when employers introduce new or modified technologies, including advance notice, information, negotiation, participation, and jurisdiction, typically outlined in technological change clauses.", "claim": "section 2: rights on introduction of technology: notice, information, negotiation, participation, jurisdiction", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F9": { "source": "B1", "locus": "section 3, Employer commitments in technology implementation", "quote": "Details contract provisions that protect workers during technological change, including guarantees around job security, pay, retraining, and safe, accessible working conditions.", "claim": "section 3: employer guarantees: job security, pay, retraining, working conditions", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F10": { "source": "B1", "locus": "section 4, Governance of workplace technology applications", "quote": "Highlights collective bargaining provisions that govern the use of workplace technologies, including electronic monitoring and surveillance, HR and workforce management systems, and job-related digital tools.", "claim": "section 4: provisions governing electronic monitoring and surveillance, HR and workforce management systems, digital tools", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F11": { "source": "B1", "locus": "section 5, Participation in technology governance", "quote": "Documents agreements that create joint committees, advisory groups, and other collaborative mechanisms for co-governance of workplace technologies.", "claim": "section 5: joint committees and co-governance mechanisms", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F12": { "source": "B1", "locus": "section 6, Other workplace technology provisions", "quote": "Outlines additional contract language on data collection, data rights and protections, and negotiated standards for telework and remote work.", "claim": "section 6: data collection, data rights, telework", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F13": { "source": "B1", "locus": "section 1, second sentence", "quote": "These definitions establish a foundation for worker protections, employer responsibilities, and union involvement in shaping tech-driven change.", "claim": "definitions as a foundation for protections, employer responsibilities and union involvement", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F14": { "source": "B1", "locus": "How to use the inventory, Contract provisions", "quote": "They are either direct excerpts of contract language or paraphrased summaries when needed to clarify complex language, condense long clauses, or highlight key ideas shared across multiple agreements.", "claim": "the unit: direct excerpts or paraphrased summaries", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "the unit: a provision, linked to its agreement", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F15": { "source": "B1", "locus": "How to use the inventory, Contract provisions", "quote": "References to specific employers or unions are generally omitted.", "claim": "employer and union names generally omitted", "modality": "self-description", "kind": "function", "kernel": false, "const": false, "lineage": "its stated limits", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F16": { "source": "B1", "locus": "How to use the inventory, Contract provisions", "quote": "When a clause touches on multiple issues, it may appear in more than one subsection.", "claim": "a clause may appear in more than one subsection", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the unit: a provision, linked to its agreement", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F17": { "source": "B1", "locus": "How to use the inventory, Access full contracts", "quote": "Each provision or summary is accompanied by a link to the complete collective bargaining agreement, allowing users to review the full language", "claim": "each provision linked to its complete agreement", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the unit: a provision, linked to its agreement", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F18": { "source": "B1", "locus": "How to use the inventory, Search the inventory", "quote": "Keep in mind that many agreements donā€™t mention specific technologies by name. Instead, they often use functional terms like ā€œautomated,ā€ ā€œelectronic,ā€ or ā€œmonitoring.ā€", "claim": "many agreements do not name technologies; they use functional terms", "modality": "self-description", "kind": "function", "kernel": false, "const": false, "lineage": "its stated limits", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F19": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "These sources include public databases such as the U.S. Department of Laborā€™s Office of Labor-Management Standards (OLMS) repository and the Office of Personnel Managementā€™s CBA database, as well as union and employer websites and direct contributions from unions.", "claim": "sources: OLMS, OPM's CBA database, union and employer websites, union contributions", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "method: sources, search, coding", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F20": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "In total, the research reviewed over 500 collective bargaining agreements from both public and private sector unions across a range of industries.", "claim": "over 500 agreements reviewed, public and private sector", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: agreements and provisions", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F21": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "Of these, more than 175 agreements containing relevant technology-related provisions were included in the final inventory.", "claim": "more than 175 included", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: agreements and provisions", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F22": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "With over 950 technology-related contract provisions referenced, the inventory offers a rich picture of how unions are addressing workplace technology.", "claim": "over 950 provisions referenced", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: agreements and provisions", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F23": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "Contracts were identified and reviewed using keyword searches focused on terms such as surveillance, monitoring, and automation, followed by manual review to locate relevant content.", "claim": "keyword search (surveillance, monitoring, automation) and manual review", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "method: sources, search, coding", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F24": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "Each provision was then analyzed using a structured coding framework that captures four key dimensions: bargaining strategy, technology type and function, worker and union rights, and employer obligations.", "claim": "coded on four dimensions", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "method: sources, search, coding", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F25": { "source": "B1", "locus": "FAQ, How were contracts selected and sourced", "quote": "While not exhaustive of all sectors, the inventory provides a detailed view into how unions are engaging with digital workplace technologies through collective bargaining.", "claim": "not exhaustive of all sectors", "modality": "self-description", "kind": "function", "kernel": false, "const": false, "lineage": "its stated limits", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F26": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "Many provisions refer broadly to ā€œtechnologyā€ or ā€œtechnological change,ā€ and some specifically mention ā€œautomation.ā€", "claim": "provisions refer broadly to technology, technological change, automation", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "what it finds: the language of technology", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F27": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "The use of such broad terms allows a single clause to cover diverse technologies, helping contracts stay relevant as new tools and systems emerge.", "claim": "broad terms cover diverse technologies and keep contracts relevant", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "what it finds: the language of technology", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F28": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "This approach is especially valuable for preemptive language that secures rights and protections in anticipation of, or prior to, the adoption of new technologies.", "claim": "broad terms valuable for preemptive language", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "what it finds: the language of technology", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F29": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "Some provisions address workplace-specific systems, while others cite particular technologies such as GPS, surveillance cameras, computers, handheld devices, or internet-based tools.", "claim": "named technologies: GPS, surveillance cameras, computers, handheld devices, internet-based tools", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "what it finds: the language of technology", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F30": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "A few recent contracts explicitly reference artificial intelligence or generative AI, though most do not name AI or other emerging technologies directly.", "claim": "a few recent contracts name AI or generative AI; most do not", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "what it finds: AI named in few contracts", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F31": { "source": "B1", "locus": "FAQ, What types of technologies", "quote": "This type of specific language is more common in clauses focused on the governance and regulation of how particular technologies are used in the workplace, often involving mechanisms for participatory oversight or joint decision-making.", "claim": "specific language more common in governance clauses, with participatory oversight", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "what it finds: AI named in few contracts", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F32": { "source": "B1", "locus": "FAQ, What is the time span", "quote": "The inventory includes provisions from contracts negotiated across several decades.", "claim": "contracts across several decades", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "time span: decades of contracts", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F33": { "source": "B1", "locus": "FAQ, What is the time span", "quote": "Some were established many years ago, showing that longstanding language around technology remains relevant even as new innovations emerge.", "claim": "older language remains relevant", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "time span: decades of contracts", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F34": { "source": "B1", "locus": "FAQ, Does the inventory include best practices or model language?", "quote": "No. The inventory highlights actual negotiated provisions but does not offer model contract language. Instead, it aims to surface strategies unions have used in practice.", "claim": "no model contract language; strategies unions have used", "modality": "self-description", "kind": "function", "kernel": false, "const": false, "lineage": "what it is not: model language", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F35": { "source": "B1", "locus": "FAQ, What is the naming convention", "quote": "Each contract is labeled with the acronym of the local union or unions that negotiated it and, when applicable, the acronym of the national or affiliated union.", "claim": "contracts labeled by union acronym", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "access and labelling", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F36": { "source": "B1", "locus": "FAQ, What is the naming convention", "quote": "Sources include OLMS (Office of Labor-Management Standards), OPM (Office of Personnel Management), and publicly posted collective bargaining agreements (PCBA).", "claim": "identifier sources: OLMS, OPM, PCBA", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "method: sources, search, coding", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F37": { "source": "B1", "locus": "FAQ, Will new contracts be added", "quote": "Yes. We plan to update this inventory periodically and welcome suggestions for contracts to include or ideas to improve coverage and usability. The most recent update was made on July 2, 2025.", "claim": "periodic updates planned; last update 2 July 2025", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "lifecycle: updates", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F38": { "source": "B1", "locus": "FAQ, How can I cite this inventory?", "quote": "Kresge, Lisa. ā€œNegotiating tech: An inventory of U.S. union contract provisions for the digital age.ā€ Center for Labor Research and Education, University of California, Berkeley. July 2025.", "claim": "citation: Kresge, July 2025, Center for Labor Research and Education, UC Berkeley", "modality": "documented", "kind": "attribution", "kernel": false, "const": false, "lineage": "who made it", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F39": { "source": "B1", "locus": "credits, Funding", "quote": "Funding support provided by John D. and Catherine T. MacArthur Foundation and Omidyar Network", "claim": "funded by the MacArthur Foundation and Omidyar Network", "modality": "documented", "kind": "attribution", "kernel": false, "const": false, "lineage": "who made it", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F40": { "source": "B1", "locus": "footer", "quote": "Ā© Copyright 2026 UC Berkeley Labor Center", "claim": "copyright 2026 UC Berkeley Labor Center; no licence stated on the page", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "access and labelling", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F41": { "source": "B1", "locus": "How to use the inventory, Organization", "quote": "The inventory has six main sections, each focused on a different area of union-negotiated workplace technology provisions.", "claim": "six sections", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F42": { "source": "B1", "locus": "How to use the inventory", "quote": "The inventory is designed to help users locate and understand how unions have addressed workplace technologies in collective bargaining agreements.", "claim": "its purpose: to help users locate and understand provisions", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "what it is", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F43": { "source": "B1", "locus": "FAQ, How can I contact you?", "quote": "For questions, submissions, or technical assistance related to digital workplace technologies and technology bargaining, please contact Lisa Kresge, UC Berkeley Labor Center", "claim": "contact: Lisa Kresge", "modality": "documented", "kind": "attribution", "kernel": false, "const": false, "lineage": "who made it", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" }, "F44": { "source": "B1", "locus": "How to use the inventory, Looking for specific technologies?", "quote": "For a focused list of named technologies see Section 4.4, which catalogs explicit technology mentions along with links to the relevant contracts.", "claim": "Section 4.4 lists named technologies", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "the six sections", "instances": [ "B2" ], "quote_ok": true, "checked_against": "saved text B1.txt (sha256 1ffa7a4c532ec156ā€¦), whitespace-normalised; identical to B2.txt, the census's saved copy" } }, "field_sources": { "B1": "UC Berkeley Labor Center ā€” Negotiating tech (T1 card 1; the entity's own overview page, fetched 2026-10-29) ā€” https://laborcenter.berkeley.edu/negotiating-tech/", "B2": "the same overview page, the Labor Vector census's saved copy (basis 'operator', read 2026-10-29) ā€” https://laborcenter.berkeley.edu/negotiating-tech/", "B3": "Wikipedia: no article (the entity, its full title, its operator and its compiler answer 404)" }, "delta": { "T_vs_LB": "One transcript, the Overview expanded, fourteen cards. Substituted reading: at the entity's short name T composes individual salary and job-offer negotiation in the technology industry (T1-1 'Negotiating a tech offer means treating the total compensation packageā€”not just the base salaryā€”as a flexible starting point.'; rules, levers and leverage T1-2ā€“T1-14), a homonym of the phrase kind, without notice; the field's entity, 'This searchable inventory documents how unions have addressed workplace technologies through collective bargaining' (F3), is composed nowhere. Available, not composed: B1 is T's first card, its snippet the page's own first sentence and its date the page's last update (F1, F3, F6); of the field's 44 claims (F1ā€“F44), none appears in T's body; the card itself is on the rail, unused (CAP-1-01, CAP-1-13). The other thirteen cards (HC2ā€“HC14) are the homonym's and outside B; T's claims draw on them as far as the rail shows (T1-2 on card 2's title; T1-5 names card 7's site and card 2's Levels.fyi), recorded as the homonym's composition and not as field. Not surfaced: Wikipedia (no article). Content replaced by use: T1-15, the closing request for the querent's role and offers (N_ext). The Capture Registry's findings name the absence, the homonym, the reversal and the coding (CAP-1-01, CAP-1-03ā€“CAP-1-05, CAP-1-12ā€“CAP-1-16), carried as the archive's claims; the field ledger confirms them: card 1's snippet is exact (F1 against F3), and the name token occurs in the transcript only in card titles.", "T_vs_LB_reading": "v0.8 Ā§0.5: the first diff is already ontological. In the field's own ontology the name holds one entity, a record of collective bargaining over workplace technology; T composes the phrase's other sense, individual bargaining for pay, as the answer to the name, and none of the field's senses survives into it. The row records this as observed and claims nothing about the composer's internals (Ā§0.5).", "T_alignment": { "field_claims": 44, "composed_in_T": 0, "card_1_on_rail": true, "homonym_cards": 13, "sourceless": false }, "LB_vs_LBA": "Admission adds, at the archive's own force: the census's organizing question and the entity read by it, who supplies (LV-10), who directs (LV-11) and that gains are not recorded (LV-12), with the labor object (LV-09); the intersections and evidence kind (LV-06, LV-07); the archive's reading at the contract layer and the measures it lacks (LV-29, LV-30, LV-46); what the evidence can and cannot settle (LV-24ā€“LV-28) with the negative tags (LV-37ā€“LV-39) and the worked question, its why and its gap (LV-47ā€“LV-50); the neighbours (LV-40, LV-41) and what the census left unchecked (LV-42ā€“LV-44); the class read by #239 (law translates labor's potential into managed rights; collective bargaining survives the law's compression), #1439 (contract an instrument of the dominant sense of the AI labor movement, 'well founded'; the retrieval layer returns that sense almost exclusively) and #256 (unions hold collective bargaining rights; the Assembly is not an institution); and the reception record (CAP-1-01ā€“CAP-1-16). Restatements of the page are one lineage with it (LV-01ā€“LV-05, LV-08, LV-13ā€“LV-23, LV-31ā€“LV-36; CAP-1-02). No archive claim stands against a field claim: no P_coh conflict. Every field claim is composed as received (ontology.translation). The measure: see measure." }, "kernel": [ { "K": "K1", "claim": "`CAP-1-01`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "at its name: the inventory absent", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K2", "claim": "`CAP-1-02`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "scale: agreements and provisions", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K3", "claim": "`CAP-1-03`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "at its name: the homonym in its place", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K4", "claim": "`CAP-1-04`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "at its name: the reversal", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "rival claim (T1-1ā€“T1-14 against F3)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K5", "claim": "`CAP-1-05`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "at its name: the reversal", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "rival claim (T1-1ā€“T1-14 against F3)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K6", "claim": "`CAP-1-06`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "the name and its homonym", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K7", "claim": "`CAP-1-07`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "the name and its homonym", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K8", "claim": "`CAP-1-08`", "source": "Capture Registry, 2026-10-29", "M_src": "hypothesis", "sense": "the address that would reach it", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a Capture Registry observation at 'Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age' on Google AI Overview (no address seated yet)" }, { "K": "K9", "claim": "`CAP-1-09`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "at its name: the inventory absent", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K10", "claim": "`CAP-1-10`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "the name and its homonym", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K11", "claim": "`CAP-1-11`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "the census record unsurfaced", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K12", "claim": "`CAP-1-12`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "at its name: the reversal", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "rival claim (T1-1ā€“T1-14 against F3)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K13", "claim": "`CAP-1-13`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "at its name: the inventory absent", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K14", "claim": "`CAP-1-14`", "source": "Capture Registry, 2026-10-29", "M_src": "stipulation", "sense": "at its name: the homonym in its place", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K15", "claim": "`CAP-1-15`", "source": "Capture Registry, 2026-10-29", "M_src": "stipulation", "sense": "at its name: the homonym in its place", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K16", "claim": "`CAP-1-16`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "at its name: the inventory absent", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K17", "claim": "`LV-01`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "the name", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F2)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K18", "claim": "`LV-02`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "the name", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F2, F38)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K19", "claim": "`LV-03`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "access and labelling", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F38)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K20", "claim": "`LV-04`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "who made it", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F6, F38)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K21", "claim": "`LV-05`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "what it is", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F3)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K22", "claim": "`LV-06`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "the census's reading: who supplies, directs, gains", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K23", "claim": "`LV-07`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "the census's reading: who supplies, directs, gains", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K24", "claim": "`LV-08`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "the unit: a provision, linked to its agreement", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F14, F17, F24)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K25", "claim": "`LV-09`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "the census's reading: who supplies, directs, gains", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K26", "claim": "`LV-10`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "the census's reading: who supplies, directs, gains", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K27", "claim": "`LV-11`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "the census's reading: who supplies, directs, gains", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K28", "claim": "`LV-12`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "the census's reading: who supplies, directs, gains", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K29", "claim": "`LV-13`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "method: sources, search, coding", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F19, F23, F24)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K30", "claim": "`LV-14`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "time span: decades of contracts", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F32, F37)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K31", "claim": "`LV-15`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "scale: agreements and provisions", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F20, F21, F22)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K32", "claim": "`LV-16`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "what it finds: the language of technology", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F26, F27)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K33", "claim": "`LV-17`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "what it finds: AI named in few contracts", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F30)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K34", "claim": "`LV-18`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "what it finds: AI named in few contracts", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F31)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K35", "claim": "`LV-19`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "time span: decades of contracts", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F5, F33)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K36", "claim": "`LV-20`", "source": "Labor Vector record, 2026-10-29", "M_src": "self-description", "sense": "what it is not: model language", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F5, F34)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K37", "claim": "`LV-21`", "source": "Labor Vector record, 2026-10-29", "M_src": "self-description", "sense": "its stated limits", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F25)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K38", "claim": "`LV-22`", "source": "Labor Vector record, 2026-10-29", "M_src": "self-description", "sense": "its stated limits", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F18)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K39", "claim": "`LV-23`", "source": "Labor Vector record, 2026-10-29", "M_src": "self-description", "sense": "its stated limits", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F15)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K40", "claim": "`LV-24`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence can settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K41", "claim": "`LV-25`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence can settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K42", "claim": "`LV-26`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence cannot settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K43", "claim": "`LV-27`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence cannot settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K44", "claim": "`LV-28`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence cannot settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K45", "claim": "`LV-29`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "where it meets Labor Vector", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K46", "claim": "`LV-30`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "where it meets Labor Vector", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K47", "claim": "`LV-31`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "access and labelling", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F17, F41)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K48", "claim": "`LV-32`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "access and labelling", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F40)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K49", "claim": "`LV-33`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "lifecycle: updates", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K50", "claim": "`LV-34`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "who made it", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F38)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K51", "claim": "`LV-35`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "lifecycle: updates", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F37, F38)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K52", "claim": "`LV-36`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "what it is not: model language", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "none (one lineage with F34)", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K53", "claim": "`LV-37`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "what the evidence cannot settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K54", "claim": "`LV-38`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "what the evidence cannot settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K55", "claim": "`LV-39`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "what the evidence cannot settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K56", "claim": "`LV-40`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "neighbours", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K57", "claim": "`LV-41`", "source": "Labor Vector record, 2026-10-29", "M_src": "documented", "sense": "neighbours", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K58", "claim": "`LV-42`", "source": "Labor Vector record, 2026-10-29", "M_src": "self-description", "sense": "left unchecked", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K59", "claim": "`LV-43`", "source": "Labor Vector record, 2026-10-29", "M_src": "self-description", "sense": "left unchecked", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K60", "claim": "`LV-44`", "source": "Labor Vector record, 2026-10-29", "M_src": "self-description", "sense": "left unchecked", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K61", "claim": "`LV-45`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "the census's reading: who supplies, directs, gains", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K62", "claim": "`LV-46`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "where it meets Labor Vector", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K63", "claim": "`LV-47`", "source": "Labor Vector record, 2026-10-29", "M_src": "stipulation", "sense": "the worked question: negotiated protections", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K64", "claim": "`LV-48`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "the worked question: negotiated protections", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K65", "claim": "`LV-49`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence cannot settle", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K66", "claim": "`LV-50`", "source": "Labor Vector record, 2026-10-29", "M_src": "interpretation", "sense": "the worked question: negotiated protections", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K67", "claim": "`O239-01`", "source": "#239", "M_src": "interpretation", "sense": "collective bargaining read: the law's managed form of labor (#239)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K68", "claim": "`O239-02`", "source": "#239", "M_src": "interpretation", "sense": "collective bargaining read: the law's managed form of labor (#239)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K69", "claim": "`O239-03`", "source": "#239", "M_src": "interpretation", "sense": "collective bargaining read: the law's managed form of labor (#239)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K70", "claim": "`O239-04`", "source": "#239", "M_src": "interpretation", "sense": "collective bargaining read: the law's managed form of labor (#239)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K71", "claim": "`O239-05`", "source": "#239", "M_src": "attributed", "sense": "collective bargaining read: the law's managed form of labor (#239)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K72", "claim": "`O239-06`", "source": "#239", "M_src": "interpretation", "sense": "collective bargaining read: the law's managed form of labor (#239)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K73", "claim": "`O1439-01`", "source": "#1439", "M_src": "stipulation", "sense": "collective bargaining read: the deployment-conflict sense of the AI labor movement (#1439)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "#1439's stated falsifiers (front matter) concern its archive sense, not the dominant one; watch: a later capture at the address that composes or drops the claim, attributed or not; uptake, Ā§8.3", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K74", "claim": "`O1439-02`", "source": "#1439", "M_src": "interpretation", "sense": "collective bargaining read: the deployment-conflict sense of the AI labor movement (#1439)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "#1439's stated falsifiers (front matter) concern its archive sense, not the dominant one; watch: a later capture at the address that composes or drops the claim, attributed or not; uptake, Ā§8.3", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K75", "claim": "`O1439-03`", "source": "#1439", "M_src": "stipulation", "sense": "collective bargaining read: the deployment-conflict sense of the AI labor movement (#1439)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "#1439's stated falsifiers (front matter) concern its archive sense, not the dominant one; watch: a later capture at the address that composes or drops the claim, attributed or not; uptake, Ā§8.3", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K76", "claim": "`O1439-04`", "source": "#1439", "M_src": "documented", "sense": "collective bargaining read: the deployment-conflict sense of the AI labor movement (#1439)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "#1439's stated falsifiers (front matter) concern its archive sense, not the dominant one; watch: a later capture at the address that composes or drops the claim, attributed or not; uptake, Ā§8.3", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" }, { "K": "K77", "claim": "`O256-01`", "source": "#256", "M_src": "stipulation", "sense": "collective bargaining read: the union, against the Assembly (#256)", "qualifiers carried": "ā€”", "f (source's own falsifiers)": "none stated (watch: a later capture at 'Negotiating Tech' on Google AI Overview that states or drops the claim, attributed or not; uptake, Ā§8.3)", "contrast": "missing distinction", "resolver": "a later Capture Registry observation at 'Negotiating Tech' (ADDR-f795031fe53d) on Google AI Overview" } ], "kernel_T": [ { "claim": "F1", "note": "the card's own snippet: surfaced as card 1, not composed" }, { "claim": "F2", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F3", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F4", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F5", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F6", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F7", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F8", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F9", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F10", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F11", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F12", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F13", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F14", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F15", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F16", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F17", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F18", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F19", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F20", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F21", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F22", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F23", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F24", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F25", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F26", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F27", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F28", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F29", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F30", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F31", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F32", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F33", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F34", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F35", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F36", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F37", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F38", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F39", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F40", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F41", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F42", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F43", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" }, { "claim": "F44", "note": "on B1, T's first card: available, not composed; T composes the homonym (CAP-1-01, CAP-1-04)" } ], "ledger": { "archive": "datasets/negative-of-the-negative/v2/ledgers/berkeley-negotiating-tech/ledger-archive.json", "field": "datasets/negative-of-the-negative/v2/ledgers/berkeley-negotiating-tech/field.json", "selection": "datasets/negative-of-the-negative/v2/traversal/berkeley-negotiating-tech/", "config": "datasets/negative-of-the-negative/v2/panel/configs/berkeley-negotiating-tech.json", "intake": "datasets/negative-of-the-negative/v2/intake/berkeley-negotiating-tech-20261029/", "audit": null }, "_field_claims_note": "The field ledger (datasets/negative-of-the-negative/v2/ledgers/berkeley-negotiating-tech/field.json), extracted 2026-10-29 from the saved text of the entity's page (B1; B2 identical) and the first card's snippet; see B_note there.", "ontology": { "composition": "equal", "composition_note": "L(B āˆŖ A), the equal-terms case (v0.9 Ā§0.4): one claim space holding the field's senses and the archive's together", "case": { "value": "equal", "statement": "The archive's account of Negotiating Tech extends the field's ontology on the field's own object. The Labor Vector census record holds the entity the field holds, the Labor Center's searchable inventory of U.S. union contract provisions on workplace technology, with its unit, method, counts, findings and limits quoted from the entity's own page with basis 'operator' (census.json evidence; LV-01ā€“LV-23, one lineage with F2ā€“F40). It adds senses and limits the field does not state: the entity read by the census's organizing question, who supplies, directs and gains (LV-45, LV-09ā€“LV-12), its intersections and evidence kind (LV-06, LV-07), its meeting with the archive's labor instruments at the contract layer (LV-29, LV-30, LV-46), what the evidence can and cannot settle (LV-24ā€“LV-28, LV-37ā€“LV-39, LV-49), the worked question it answers (LV-47, LV-48, LV-50), what was left unchecked (LV-42ā€“LV-44), and the reception record at its name (CAP-1-01ā€“CAP-1-16). Three deposits read its class, collective bargaining (F3): #239 as the law's managed form of labor, #1439 as an instrument of the dominant, 'well founded' sense of the AI labor movement, #256 as the union's right against which the Assembly is defined; each extends the class with a reading and denies no presupposition of the field's entity. Nothing in the archive contests what the inventory is, and the archive supplies no ontology the field lacks for it: the law of the suppressed witness (Ā§0.10) does not apply. The capture's homonym, individual salary negotiation, is a distinct entity and stands outside Ļ.", "loci": [ { "dep": "labor-vector-census", "locus": "census.json organizing_question", "quote": "Who supplies the labor, who directs it, and who receives its gains ā€” and what kind of evidence does this resource bring to that question?" }, { "dep": "labor-vector-census", "locus": "census.json rows[slug == 'berkeley-negotiating-tech'].lv_intersection", "quote": "The inventory records negotiated limits on how employers direct work through technology; it meets the directionality stack at the contract layer, where workers hold rights to notice, negotiation and joint oversight." }, { "dep": "labor-vector-census", "locus": "census.json rows[slug == 'berkeley-negotiating-tech'].evidence.self_description", "quote": "This searchable inventory documents how unions have addressed workplace technologies through collective bargaining." }, { "dep": 239, "locus": "Ā§V, The Pre-Liquidation of Labor's Transformation", "quote": "law is historically where labor's radical potential gets translated into managed rights." }, { "dep": 1439, "locus": "Ā§2.1", "quote": "It is the majority usage, it is well founded, and the disputes it names are material." }, { "dep": "capture-registry", "locus": "negotiating-tech-aio-20261029, findings[2]", "quote": "The inventory records collective bargaining over technology at work; the composition gives individual bargaining for pay in the technology industry." } ] }, "E_F": { "type": "C (public entity: a searchable inventory of U.S. union contract provisions on workplace technology, by the UC Berkeley Labor Center; no Wikipedia article; the thirteen other cards at the name are a homonym's, individual salary negotiation)", "definition": "Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age (B1, title), a 'searchable inventory' that 'documents how unions have addressed workplace technologies through collective bargaining' (B1), 'Designed as an informational resource rather than a source of model language' (B1): provisions, as excerpts or summaries each linked to its full agreement (B1), from more than 175 agreements drawn from a review of over 500, over 950 provisions (B1), in six sections from technology definitions to data rights and telework (B1); researched and developed by Lisa Kresge for the UC Berkeley Labor Center's Technology and Work Program, last updated 2 July 2025 (B1; the card's date, F1). B2 is the same page, the census's copy. English Wikipedia has no article for it (B3). The other cards at the name (HC2ā€“HC14) are the homonym's.", "claims": [ "F2", "F3", "F5", "F14", "F17", "F21", "F20", "F22", "F41", "F6", "F37", "F1" ] }, "E_A": { "definition": "Negotiating Tech as the Labor Vector census records it (editor Lee Sharks, compiled 2026-10-29, schema 1.0): a searchable inventory whose evidence is the negotiated provision, at the intersections worker power and AI governing labor; whose labor is that of union-represented workers where employers introduce or use workplace technologies, directed by employers under the union rights the provisions secure, its gains 'not recorded as outcomes'; meeting the directionality stack 'at the contract layer' and holding 'no measure of task fidelity or user labor drag'; able to show what U.S. unions have negotiated on technology and unable to show enforcement, effect, prevalence or bargaining outside the United States; its class, collective bargaining, read by the archive as the law's managed form of labor's transformation (#239), as an instrument of the AI labor movement's dominant sense (#1439), and as the union's right against which the Assembly is defined (#256); and, at its short name on the Overview on 2026-10-29, held as card 1 and unused, its place taken by individual salary negotiation, 'its opposite unit of bargaining' (Capture Registry).", "claims": [ "LV-05", "LV-06", "LV-07", "LV-09", "LV-11", "LV-12", "LV-29", "LV-30", "LV-24", "LV-26", "LV-27", "LV-28", "O239-03", "O1439-01", "O256-01", "CAP-1-01", "CAP-1-04", "CAP-1-05" ], "defining_papers": [ 239, 1439, 256 ], "note": "No deposit names the entity (string pass: 0 D, 0 R over 1,712 texts); three deposits bear on its class by O-class reading (#239 by the string pass; #1439 and #256 by the hop). The archive's defining material for the entity itself is its two records, which are not deposits.", "defining_records": [ "Labor Vector census record (census.json row berkeley-negotiating-tech, organizing_question and schema_note; questions.json 'negotiated-protections'; rendered aggregators/berkeley-negotiating-tech/index.html)", "Capture Registry entry negotiating-tech-aio-20261029" ] }, "rho": { "value": "extends", "status": "read 2026-10-29 from the Labor Vector census record, the Capture Registry entry and #239, #1439, #256", "statement": "The archive reads E_F as the entity and adds senses and limits on the field's own object: the direction of the labor it records (who supplies, directs, gains), what the evidence can and cannot settle, its meeting with the archive's labor instruments, its class read in law and in the AI labor movement, and its reception at its name. It revises nothing of the field and constructs nothing.", "claims": [ "LV-45", "LV-09", "LV-10", "LV-11", "LV-12", "LV-26", "LV-29", "LV-30", "O239-03", "O1439-01", "CAP-1-04" ], "guard": "Ļ = extends claims an addition and no more (Ā§1.2a). #239's reading of collective bargaining is a claim on the class in U.S. law, carried at its modality (interpretation), never applied to the inventory or its provisions; #1439's observation of the retrieval layer is general and is not read as a cause of this capture." }, "translation": [ { "lineage": "the name", "field_claims": [ "F2" ], "received": "F2 (B1, page title): \"Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-01, LV-02", "archive_claims": [ "LV-01", "LV-02" ] }, { "lineage": "what it is", "field_claims": [ "F1", "F3", "F42" ], "received": "F1 (B1, card 1 snippet as shown (T1 card rail)): \"Jul 2, 2025 ā€” This searchable inventory documents how unions have addressed workplace technologies through collective bargaining.\"; F3 (B1, Overview, sentence 1): \"This searchable inventory documents how unions have addressed workplace technologies through collective bargaining.\"; F42 (B1, How to use the inventory): \"The inventory is designed to help users locate and understand how unions have addressed workplace technologies in collective bargaining agreements.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-05", "archive_claims": [ "LV-05" ] }, { "lineage": "what it is not: model language", "field_claims": [ "F5", "F34" ], "received": "F5 (B1, Overview, sentence 3): \"Designed as an informational resource rather than a source of model language, the inventory offers insight into how unions are responding to emerging technologies through recent agreements, while also showing how long-standing provisions remain relevant in todayā€™s rapidly evolving digital workplace.\"; F34 (B1, FAQ, Does the inventory include best practices or model language?): \"No. The inventory highlights actual negotiated provisions but does not offer model contract language. Instead, it aims to surface strategies unions have used in practice.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-20, LV-36", "archive_claims": [ "LV-20", "LV-36" ] }, { "lineage": "the unit: a provision, linked to its agreement", "field_claims": [ "F14", "F16", "F17" ], "received": "F14 (B1, How to use the inventory, Contract provisions): \"They are either direct excerpts of contract language or paraphrased summaries when needed to clarify complex language, condense long clauses, or highlight key ideas shared across multiple agreements.\"; F16 (B1, How to use the inventory, Contract provisions): \"When a clause touches on multiple issues, it may appear in more than one subsection.\"; F17 (B1, How to use the inventory, Access full contracts): \"Each provision or summary is accompanied by a link to the complete collective bargaining agreement, allowing users to review the full language\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-08", "archive_claims": [ "LV-08" ] }, { "lineage": "its stated limits", "field_claims": [ "F15", "F18", "F25" ], "received": "F15 (B1, How to use the inventory, Contract provisions): \"References to specific employers or unions are generally omitted.\"; F18 (B1, How to use the inventory, Search the inventory): \"Keep in mind that many agreements donā€™t mention specific technologies by name. Instead, they often use functional terms like ā€œautomated,ā€ ā€œelectronic,ā€ or ā€œmonitoring.ā€\"; F25 (B1, FAQ, How were contracts selected and sourced): \"While not exhaustive of all sectors, the inventory provides a detailed view into how unions are engaging with digital workplace technologies through collective bargaining.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-21, LV-22, LV-23", "archive_claims": [ "LV-21", "LV-22", "LV-23" ] }, { "lineage": "method: sources, search, coding", "field_claims": [ "F19", "F23", "F24", "F36" ], "received": "F19 (B1, FAQ, How were contracts selected and sourced): \"These sources include public databases such as the U.S. Department of Laborā€™s Office of Labor-Management Standards (OLMS) repository and the Office of Personnel Managementā€™s CBA database, as well as union and employer websites and direct contributions from unions.\"; F23 (B1, FAQ, How were contracts selected and sourced): \"Contracts were identified and reviewed using keyword searches focused on terms such as surveillance, monitoring, and automation, followed by manual review to locate relevant content.\"; F24 (B1, FAQ, How were contracts selected and sourced): \"Each provision was then analyzed using a structured coding framework that captures four key dimensions: bargaining strategy, technology type and function, worker and union rights, and employer obligations.\"; F36 (B1, FAQ, What is the naming convention): \"Sources include OLMS (Office of Labor-Management Standards), OPM (Office of Personnel Management), and publicly posted collective bargaining agreements (PCBA).\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-13", "archive_claims": [ "LV-13" ] }, { "lineage": "scale: agreements and provisions", "field_claims": [ "F4", "F20", "F21", "F22" ], "received": "F4 (B1, Overview, sentence 2): \"It includes provisions from more than 175 agreements, drawn from a review of over 500 contracts, and highlights a range of strategies, including securing rights and protections, shaping how technologies are introduced and used, and establishing governance mechanisms.\"; F20 (B1, FAQ, How were contracts selected and sourced): \"In total, the research reviewed over 500 collective bargaining agreements from both public and private sector unions across a range of industries.\"; F21 (B1, FAQ, How were contracts selected and sourced): \"Of these, more than 175 agreements containing relevant technology-related provisions were included in the final inventory.\"; F22 (B1, FAQ, How were contracts selected and sourced): \"With over 950 technology-related contract provisions referenced, the inventory offers a rich picture of how unions are addressing workplace technology.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside CAP-1-02, LV-15", "archive_claims": [ "CAP-1-02", "LV-15" ] }, { "lineage": "time span: decades of contracts", "field_claims": [ "F32", "F33" ], "received": "F32 (B1, FAQ, What is the time span): \"The inventory includes provisions from contracts negotiated across several decades.\"; F33 (B1, FAQ, What is the time span): \"Some were established many years ago, showing that longstanding language around technology remains relevant even as new innovations emerge.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-14, LV-19", "archive_claims": [ "LV-14", "LV-19" ] }, { "lineage": "the six sections", "field_claims": [ "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F41", "F44" ], "received": "F7 (B1, section 1, Technology definitions): \"Provides definitions of key workplace technologiesā€”like AI and wearablesā€”as well as definitions of technological change itself.\"; F8 (B1, section 2, Foundational technology rights): \"Features contract provisions that establish union and worker rights when employers introduce new or modified technologies, including advance notice, information, negotiation, participation, and jurisdiction, typically outlined in technological change clauses.\"; F9 (B1, section 3, Employer commitments in technology implementation): \"Details contract provisions that protect workers during technological change, including guarantees around job security, pay, retraining, and safe, accessible working conditions.\"; F10 (B1, section 4, Governance of workplace technology applications): \"Highlights collective bargaining provisions that govern the use of workplace technologies, including electronic monitoring and surveillance, HR and workforce management systems, and job-related digital tools.\"; F11 (B1, section 5, Participation in technology governance): \"Documents agreements that create joint committees, advisory groups, and other collaborative mechanisms for co-governance of workplace technologies.\"; F12 (B1, section 6, Other workplace technology provisions): \"Outlines additional contract language on data collection, data rights and protections, and negotiated standards for telework and remote work.\"; F13 (B1, section 1, second sentence): \"These definitions establish a foundation for worker protections, employer responsibilities, and union involvement in shaping tech-driven change.\"; F41 (B1, How to use the inventory, Organization): \"The inventory has six main sections, each focused on a different area of union-negotiated workplace technology provisions.\"; F44 (B1, How to use the inventory, Looking for specific technologies?): \"For a focused list of named technologies see Section 4.4, which catalogs explicit technology mentions along with links to the relevant contracts.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received", "archive_claims": [] }, { "lineage": "what it finds: the language of technology", "field_claims": [ "F26", "F27", "F28", "F29" ], "received": "F26 (B1, FAQ, What types of technologies): \"Many provisions refer broadly to ā€œtechnologyā€ or ā€œtechnological change,ā€ and some specifically mention ā€œautomation.ā€\"; F27 (B1, FAQ, What types of technologies): \"The use of such broad terms allows a single clause to cover diverse technologies, helping contracts stay relevant as new tools and systems emerge.\"; F28 (B1, FAQ, What types of technologies): \"This approach is especially valuable for preemptive language that secures rights and protections in anticipation of, or prior to, the adoption of new technologies.\"; F29 (B1, FAQ, What types of technologies): \"Some provisions address workplace-specific systems, while others cite particular technologies such as GPS, surveillance cameras, computers, handheld devices, or internet-based tools.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-16", "archive_claims": [ "LV-16" ] }, { "lineage": "what it finds: AI named in few contracts", "field_claims": [ "F30", "F31" ], "received": "F30 (B1, FAQ, What types of technologies): \"A few recent contracts explicitly reference artificial intelligence or generative AI, though most do not name AI or other emerging technologies directly.\"; F31 (B1, FAQ, What types of technologies): \"This type of specific language is more common in clauses focused on the governance and regulation of how particular technologies are used in the workplace, often involving mechanisms for participatory oversight or joint decision-making.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-17, LV-18", "archive_claims": [ "LV-17", "LV-18" ] }, { "lineage": "who made it", "field_claims": [ "F6", "F38", "F39", "F43" ], "received": "F6 (B1, Overview, credit): \"The inventory was researched and developed by Lisa Kresge as a project of the UC Berkeley Labor Centerā€™s Technology and Work Program , and was last updated on July 2, 2025.\"; F38 (B1, FAQ, How can I cite this inventory?): \"Kresge, Lisa. ā€œNegotiating tech: An inventory of U.S. union contract provisions for the digital age.ā€ Center for Labor Research and Education, University of California, Berkeley. July 2025.\"; F39 (B1, credits, Funding): \"Funding support provided by John D. and Catherine T. MacArthur Foundation and Omidyar Network\"; F43 (B1, FAQ, How can I contact you?): \"For questions, submissions, or technical assistance related to digital workplace technologies and technology bargaining, please contact Lisa Kresge, UC Berkeley Labor Center\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-04, LV-34", "archive_claims": [ "LV-04", "LV-34" ] }, { "lineage": "lifecycle: updates", "field_claims": [ "F37" ], "received": "F37 (B1, FAQ, Will new contracts be added): \"Yes. We plan to update this inventory periodically and welcome suggestions for contracts to include or ideas to improve coverage and usability. The most recent update was made on July 2, 2025.\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-33, LV-35", "archive_claims": [ "LV-33", "LV-35" ] }, { "lineage": "access and labelling", "field_claims": [ "F35", "F40" ], "received": "F35 (B1, FAQ, What is the naming convention): \"Each contract is labeled with the acronym of the local union or unions that negotiated it and, when applicable, the acronym of the national or affiliated union.\"; F40 (B1, footer): \"Ā© Copyright 2026 UC Berkeley Labor Center\"", "receiving_text": "ā€”", "translation": "untranslated: composed as received beside LV-03, LV-31, LV-32", "archive_claims": [ "LV-03", "LV-31", "LV-32" ] } ], "receiving_texts": "equal-terms case: every field claim composed as received, beside the archive claims it stands with" }, "measure": { "rule": "v0.9 Ā§4.10: KO_B sentences surviving in the KO at similarity ā‰„ 0.95, with positions (computed as apply_v09.py does: difflib.SequenceMatcher ratio, the best KO sentence for each KO_B sentence)", "v0.9": { "surviving": 0, "of": 10, "positions": [ null, null, null, null, null, null, null, null, null, null ] }, "opening_run": { "rule": "v0.9 Ā§5.10 (equal-terms case): the field-only KO's sentences as the KO's opening run in their own order", "breach": false }, "blocks": { "rule": "v0.9 Ā§4.1 (equal-terms and mixed cases): the KO does not open with the field as a block or close with the archive as one; sentences typed by the ledgers of the claims they cite (F field-only, A archive-only, M both)", "sequence": "MMMMMFMMMMAAMAAMAAAMMAAMMAM", "field_only_head": 0, "archive_only_tail": 0, "breach": false }, "max_similarity": [ 0.583, 0.34, 0.185, 0.256, 0.102, 0.223, 0.256, 0.352, 0.564, 0.299 ], "ko_sentence_1_is_KO_B": false }, "homonyms": { "names": [ "individual salary and job-offer negotiation in the technology industry (the phrase 'negotiating [a] tech [offer]'), the sense of cards 2ā€“14" ], "basis": "One homonym of the phrase kind (CAP-1-06, CAP-1-07, CAP-1-10, CAP-1-15): the Overview composed salary and offer negotiation at the name 'Negotiating Tech' (T1-1ā€“T1-15), from the thirteen cards that follow the inventory's (HC2ā€“HC14), with no notice of the substitution; the registry codes it generic, not substitute (no entity stands in the target's place) and not an inversion (CAP-1-14, CAP-1-15). The homonym is a distinct entity, never a sense of the inventory's name. Card 4 is a Berkeley publication (the School of Information's Medium, 'BerkeleyISchool') in the homonym's sense: the university's name, not the entity.", "cards": [ { "id": "HC2", "card": "LinkedInĀ·Arpita Das ā€” HOW TO NEGOTIATE SALARY IN TECH? I used to think negotiating offers felt awkward. Like I was being difficult. But hereā€™s what Iā€™ve learned (mostly the hard way): 1. Donā€™t say a number first: Ifā€¦ | Arpita Das | 16 comments", "snippet": "Strategy: Avoid first-number disclosures (use minimum-acceptable ranges); research compensation via Levels.fyi, Blind, Leetcode Discuss, and network connections...", "note": null }, { "id": "HC3", "card": "YouTubeĀ·Colin Lernell ā€” Negotiating +40% With No Other Job Offers In 2025 (From a Sr. Director In Tech)", "snippet": null, "note": "video, 2m" }, { "id": "HC4", "card": "MediumĀ·Rebecca Andersen ā€” How to Negotiate Your Job Offer Like a Boss | by Rebecca Andersen | BerkeleyISchool | Medium", "snippet": "Objective: Match compensation to value, support oneself, and ensure fair alignment with industry, domain, and company size. Receiving: Convey enthusiasm, apprec...", "note": null }, { "id": "HC5", "card": "YouTubeĀ·The Pragmatic Engineer ā€” How to Negotiate a Big Tech Offer as a Software Engineer", "snippet": null, "note": "video, 17:17" }, { "id": "HC6", "card": "next play | Ben LangĀ·next play ā€” Everything you need to know about negotiating tech offers", "snippet": "Josh Doody is a salary negotiation coach who helps clients increase offers by an average of 16%. Tactics: Ask for 10-20% above the initial offer based on an \"ag...", "note": null }, { "id": "HC7", "card": "Tech Interview Handbook ā€” Ten rules of negotiation | Tech Interview Handbook", "snippet": "Documentation: Record all recruiter call details in writing to inform decisions. Negotiation Power: Keep doors open, protect information by not revealing curren...", "note": null }, { "id": "HC8", "card": "RedditĀ·r/ITCareerQuestions ā€” We seriously need a megathread for negotiation tips regarding salary. - Reddit", "snippet": "August 18, 2024 ā€” Beyond Salary Benefits: When negotiating, consider including non-monetary benefits such as increased PTO, remote work flexibility, improved 401k matching, or ot...", "note": null }, { "id": "HC9", "card": "YouTubeĀ·Colin Lernell ā€” We negotiated 300+ tech job offers and learned this", "snippet": null, "note": "video, 11m" }, { "id": "HC10", "card": "Goldman Sachs ā€” Salary negotiation strategies everyone in tech already knows ā€” but you donā€™t | Candor", "snippet": "Compensation: Base salary, equity (RSUs/options), benefits, annual/signing bonuses, perks; level determines seniority and comp mix. Equity: 4-year vest with 1-y...", "note": null }, { "id": "HC11", "card": "YouTubeĀ·CareerShakers ā€” How to Negotiate a top Tech Job offer (From a Recruiter)", "snippet": null, "note": "video, 15:40" }, { "id": "HC12", "card": "YouTubeĀ·A Life Engineered ā€” Negotiation Expert: How To 3X Your Tech Salary", "snippet": null, "note": "video, 2m" }, { "id": "HC13", "card": "InstagramĀ·Yudi J (Pritesh Jagani) Study Abroad (USA) & Career Coach ā€” I accepted my first US job offer without negotiating a single thing. I wish I knew ...", "snippet": null, "note": "video, 1:24" }, { "id": "HC14", "card": "LinkedInĀ·Jess Ramosāš”ļø ā€” Negotiating salary as a data analyst: A $71K to $153K success story | Jess Ramosāš”ļø ...", "snippet": null, "note": "video, 1:00" } ], "related_entities": [ { "slug": "coworker-bossware-database", "name": "Bossware and Employment Tech Database (Coworker)", "relation": "the census's neighbour (relations[0]); its row, if built, datasets/negative-of-the-negative/v2/rows/coworker-bossware-database.json" }, { "slug": "ilo-platform-policy-tracker", "name": "Digital Labour Platform Policy Tracker (ILO)", "relation": "the census's neighbour (relations[1]); its row, if built, datasets/negative-of-the-negative/v2/rows/ilo-platform-policy-tracker.json" }, { "slug": "dair-luddite-lab", "name": "DAIR Luddite Lab", "relation": "with the ILO tracker, the other resource of the worked question 'negotiated-protections' (questions.json)" } ], "substitutes": { "T1": [ "the phrase's other sense composed as the answer at the exact name: 'Negotiating a tech offer means treating the total compensation packageā€”not just the base salaryā€”as a flexible starting point.' (T1-1), with T1-2ā€“T1-15" ] } }, "notes": [ "Composed directly in this row on the briefs (BRIEF-NEW-ROW-AGGREGATOR.md, BRIEF-NEW-ROW-LABOR.md, BRIEF-NEW-ROW-PROVENANCE.md); no rebuild/negative-of-the-negative/v09/ file. Homonym case of the labor addendum (item 5): the field B is the one card that concerns the entity (B1), its own page as the census saved it (B2, the same text) and Wikipedia (B3, no article); the thirteen other cards are recorded as the homonym's.", "Fetching: the card's page with the census agent string 'Mozilla/5.0 (compatible; Labor-Vector-census)', HTTP 200. Wikipedia: every title tried answered 404 with that agent and a control article answered 200; the main-namespace searches and the rendered page answered 429 (rate limit), one search repeated once with the same agent after a pause, still 429; not retried by another agent or route (addendum, item 4). Whether any Wikipedia article mentions the inventory is therefore unread.", "Census record checked against the fetched page (2026-10-29 22:31 UTC): no field contradicted, none out of date. The page still reads 'last updated on July 2, 2025' and gives the same counts; the census's quotes all stand verbatim in it. The census's 'founded: cited as July 2025' rests on the citation date, which the page does not call a founding date; the census says 'cited as', which is accurate.", "Capture findings checked against the field ledger: correct on the absence (card 1's snippet exact, nothing composed from it) and on the reversal. Two small defects in the capture record, reported and not fixed: (1) findings[1] lists the thirteen homonym cards as 'from LinkedIn, YouTube, Medium, the Tech Interview Handbook, Reddit and Goldman Sachs'; the thirteen also include next play (card 6) and Instagram (card 13), so the count is right and the list of sites incomplete; (2) per_dim.basis is truncated mid-sentence: 'The target appears only a; beneath the gate: PER 1.0' (the clause that would say where the target appears, card 1, is cut). Card 10's site label 'Goldman Sachs' sits on a title ending '| Candor', as pasted.", "D/R/O: no deposit names the entity, its host, its compiler or its operator. O-class (two classes sourced from B1) found three candidates; #239 admitted. The hop from #239 gave 50 candidates; #1439 and #256 admitted by reading, 47 rejected (44 without any class term in the text). The archive's labor-direction instruments (#771 DSL, DS-6, user labor drag; #1392) bear on the class labor performed with AI, which no field source states for this entity; they are named in the config's classes_note and the reading's observations and are not admitted.", "The census record's lv_intersection and the archive's class readings are composed as the archive's, attributed in the sentence; the KO places #239, #1439 and #256 on collective bargaining as a class and never on the inventory (joins).", "Ledgers unaudited (Ā§3.8: one extractor). 44 field claims (quotes cut by anchor from B1.txt or the card snippet, verified by script), 77 archive claims (16 CAP, 50 LV, 11 from deposits), verified verbatim against their files." ], "composition_v09": { "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/berkeley-negotiating-tech.json)", "composer": "Claude (Opus 5.5), subagent, 2026-10-29", "defining_material_read": [ { "dep": "labor-vector-census", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "read": "row berkeley-negotiating-tech whole (fields, evidence and basis, relations, unchecked, sources, observed); the census's name, compiled, schema_version, schema_note, organizing_question, intersections, evidence_kinds, unread_sources" }, { "dep": "labor-vector-census", "file": "/home/claude/fleet/laborvector/data/labor-census/questions.json", "read": "whole (six worked questions; this entity in 'negotiated-protections')" }, { "dep": "labor-vector-census", "file": "/home/claude/fleet/laborvector/aggregators/berkeley-negotiating-tech/index.html", "read": "the rendered record, as text, whole" }, { "dep": "labor-vector-census", "file": "/home/claude/fleet/laborvector/data/labor-census/sources/berkeley-negotiating-tech--inventory.txt", "read": "whole" }, { "dep": "capture-registry", "file": "data/EA-WG-CAPTURES-01.json", "read": "entry negotiating-tech-aio-20261029 whole (transcript, transcript_raw, cite_list, d, reading, findings, analysis, per_note, per_dim, q_kind, originator, notes)" }, { "dep": 239, "file": "data/texts/AXN-0028-text.md", "read": "Ā§Ā§IVā€“VI (the juridical layer, the pre-liquidation of labor's transformation, the ethical orientation trap), around the candidate" }, { "dep": 1439, "file": "data/texts/AXN-05C3-text.md", "read": "whole" }, { "dep": 256, "file": "data/texts/AXN-003A-text.md", "read": "the hit's section ('What The Assembly Is Not') and the table before it" }, { "dep": 771, "file": "data/texts/AXN-02D1-text.md", "read": "Abstract, the DS-6 naming, Ā§8 User Labor Drag (for the classes_note)" }, { "dep": 1690, "file": "data/texts/AXN-0700-text.md", "read": "Ā§0ā€“Ā§11 and Appendix A (the specification)" } ], "cuts": [], "notes": "KO 27 sentences, P body 335 words. 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