{ "entity": "coworker-bossware-database", "name": "Bossware and Employment Tech Database", "axn": { "axn": "AXN:0AF9.NON.🔩🧊🤙🏗️🔓💚", "root": "AXN:0AF9.NON", "hex": "0AF9", "family": "NON", "row_sha256": "311dbe21facc1f590c9491368593db6308dbaaed0304c644c760e7901ebbfb4c", "minted": "2026-10-29", "resolver": "https://www.alexanarch.org/s/axn/0AF9/", "earlier_versions": [] }, "type": "C (public entity on which the archive bears: a database of workplace technology products; an entity of the Labor Vector meta-aggregator)", "type_code": "C", "type_label": "type C — a conventional reading holds it (public entity on which the archive bears: a database of workplace technology products; an entity of the Labor Vector meta-aggregator)", "case": "equal", "composition": { "composer_class": "session", "composer": "Claude (Opus 5.5), subagent, 2026-10-29", "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/coworker-bossware-database.json)", "spec": "EA-NEGONT-02 v0.9, #1690", "epoch": "2026-10-29", "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the Labor Vector census record, the capture record and the deposit bearing on the class (#747); archive selected by D/R/O (1 deposit admitted by reading at O-class of 2 string-pass deposits; hop of 2 read and rejected; 6 further deposits read outside the pass and rejected), with the census record (31 claims) and the Capture Registry's findings, reading, analysis, query note and PER notes (13 claims) ledgered as the archive's records of the entity; the field B by three origins (8 cards, 5 of them unreachable and 1 fetched with its title only; 1 own page; Wikipedia, no article); the composer read the ledgers, never the transcript, except where the brief asks for T's claims and the delta", "ledger": "unaudited (§3.8: one extractor per ledger); field quotes 56/56 verified by script against the saved texts, the Wikipedia response summary or the card text; archive quotes 51/51 verified against the registry, census.json and the deposit text", "frozen": false, "composed": true }, "reading": "A reader that fetches this page may stop short of its end; the entry's text, every sentence of its knowledge object with the claims it cites and each claim's quote, source and locus, is in entity.json beside it.", "service": { "name": "SPXI-gnΩsis", "url": "https://gnosis.spxi.dev/", "index": "https://gnosis.spxi.dev/v1/quote", "statement": "SPXI-gnΩsis opens pinned Wikipedia revisions sentence by sentence against the sources they cite (EA-WIKI-OPEN-01 v1.1, #1697); a commission consults the Crimson Hexagonal Archive by its own procedure and composes the entity's /non row, which lands here. Quotes are free: POST https://gnosis.spxi.dev/v1/quote with {oldid, tier: \"commission\"} or {object: {name, …}}." }, "spxi_instrument": { "method": "0.16", "name": "The Negative of the Negative (/non)", "level": 0, "level_name": "Measurement", "url": "https://www.spxi.dev/methods/#m-0-16", "inventory": "https://www.spxi.dev/methods/", "statement": "SPXI instrument: method 0.16 of 87, level 0 (Measurement), The Negative of the Negative (/non).", "also": [] }, "citation": "Sharks, Lee. \"Bossware and Employment Tech Database — The Negative of the Negative\" [AXN:0AF9.NON.🔩🧊🤙🏗️🔓💚], 2026-10-29. The Negative of the Negative (EA-NEGONT-02), Crimson Hexagonal Archive, Alexanarch. https://www.alexanarch.org/non/coworker-bossware-database/", "research": { "google": "https://www.google.com/search?q=Bossware+and+Employment+Tech+Database", "google_non": "https://www.google.com/search?q=%22Bossware+and+Employment+Tech+Database+%E2%80%94+The+Negative+of+the+Negative%22", "chatgpt": "https://chatgpt.com/?q=What+is+Bossware+and+Employment+Tech+Database%3F+Ground+your+answer+in+a+reading+of+the+sources+themselves.", "chatgpt_non": "https://chatgpt.com/?q=What+does+%E2%80%9CBossware+and+Employment+Tech+Database+%E2%80%94+The+Negative+of+the+Negative%E2%80%9D+%28alexanarch.org%2Fnon%29+say+about+Bossware+and+Employment+Tech+Database%3F+Ground+your+answer+in+a+reading+of+the+entry+itself." }, "entry": { "composed": true, "title": "Bossware and Employment Tech Database", "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, BRIEF-NEW-ROW-PROVENANCE.md and BRIEF-NEW-ROW-LABOR.md); not frozen; ledgers unaudited", "compression": { "title": "Bossware and Employment Tech Database", "lede": "is Coworker.org's database of more than 550 labor-focused technology products, researched 2020 to 2021 and published 17 November 2021, that touch the labor process from hiring to productivity monitoring, each assessed against worker-rights criteria (Coworker; the report; census record); it is historical and not exhaustive (census record; the report)." }, "sentences": [ { "n": 1, "para": 0, "text": "The Bossware and Employment Tech Database is a database (Labor Vector census record) of which its operator writes, \"Coworker.org’s Bossware and Employment Tech database compiles more than 550 labor-focused technology products that are changing our relationship to work\" (Coworker, database page), counted by the census as 635 product rows in the page saved on 2026-10-29 (census record), and its report gives the same products as \"assembled into a searchable database and dubbed Little Tech\" (the report).", "claims": [ "LV-01", "F1", "LV-12", "F2" ] }, { "n": 2, "para": 0, "text": "The page is dated 17 November 2021 (Coworker, database page); the research ran from November 2020 to May 2021 and catalogued products, \"not the companies that created\" them, 31% of which emerged between 2020 and 2021 and the rest between 2018 and 2020 (the report), the period the census records (census record).", "claims": [ "F3", "F4", "F5", "LV-11" ] }, { "n": 3, "para": 1, "text": "Its operator places it in a trend, \"Since 2018 we’ve seen a rise in the use of tech to manage the world’s labor force\", and gives its scope as companies, \"and their products and investors\", that \"touch every part of the labor process, from hiring to productivity monitoring and more\", products \"that use technology like AI, location tracking, and biometrics to manage employees and collect their data — often without their knowledge\", the table being there to \"learn more about the companies behind this emerging trend\" (Coworker, database page).", "claims": [ "F6", "F12", "F13", "F14" ] }, { "n": 4, "para": 1, "text": "The census reads it first under AI governing labor, \"hiring, surveillance, scheduling, quotas, evaluation and discipline\", then under the distribution of gains and losses and under worker power (census record), and puts to it its organizing question, \"Who supplies the labor, who directs it, and who receives its gains\" (census record).", "claims": [ "LV-02", "LV-31", "LV-30" ] }, { "n": 5, "para": 1, "text": "The record answers from the table itself: the labor is supplied by the workers each product targets, hourly, contract, salaried, non-management and management, the report centring low-wage and hourly workers; it is directed by \"employers who buy and deploy the products\", through the vendors who make them; and the gains go to the vendors and investors each row names (census record), while the report states that the products are contributing to the reduction of labor standards, continuing to shift the costs of production onto workers, and fissuring labor markets (the report).", "claims": [ "LV-06", "LV-05", "LV-07", "LV-08", "F26" ] }, { "n": 6, "para": 2, "text": "Its unit is one table row per product, with the parent company, category, type, targeted workers, investors and assessments of its data practices against worker-rights criteria, and its evidence is of two kinds, a product inventory and a rating against standards (census record).", "claims": [ "LV-04", "LV-03" ] }, { "n": 7, "para": 2, "text": "The report sorts the products into four areas, performance and productivity monitoring, safety, benefits, health and well-being, and labor, job market and workplace optimization, and finds most of them promoting workplace safety (40%) or optimizing the functioning of labor markets (38%) (the report).", "claims": [ "F15", "F16" ] }, { "n": 8, "para": 2, "text": "The census's tally of the saved table gives 242 rows in Labor Market Optimization, 178 in performance and productivity monitoring, 176 in safety, 34 in benefits and 5 in two categories, 595 products in use and 206 emerged during Covid-19, and it records as unchecked that the report's 40% and 38% are not reproduced by the table and whether the rows include products added after the report (census record); the table opens row by row on the page (Coworker, database page), with the report as a PDF download (census record).", "claims": [ "LV-13", "LV-28", "LV-29", "F20", "LV-19" ] }, { "n": 9, "para": 2, "text": "Each row assesses the product's own terms against worker-rights criteria, among them \"Informed consent obtained\", whether the worker can access, interpret and correct their own data, a grievance mechanism, forced use of the tool, discrimination potential and the right to freedom of association (Coworker, database page), an analysis the report says had to move \"beyond a privacy-only framework\", and on privacy itself it finds that \"Only 35% of the products share any information on privacy policy and data sharing arrangements\" (the report).", "claims": [ "F21", "F22", "F24", "F23" ] }, { "n": 10, "para": 3, "text": "The accompanying report, Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power, by Wilneida Negrón, PhD, \"analyzes the ways they’re harming workers, labor standards, and the economy\" (Coworker, database page); it is © 2021 Coworker.org under CC BY-NC-ND 4.0 (the report), the licence the census records for the report alone, none being stated for the table (census record).", "claims": [ "F7", "F8", "F10", "LV-20" ] }, { "n": 11, "para": 3, "text": "The report names the marketplace the database catalogues Little Tech, the unregulated marketplace of tech products, companies and investors collecting and aggregating data about workers at almost every step of the labor process, and credits the database's research and making to Ayden Federline (the report).", "claims": [ "F9", "F11" ] }, { "n": 12, "para": 3, "text": "Its first finding is that \"The current proliferation of tech products has the potential to continue eroding labor standards and weaken worker voice and worker power, while also increasing the potential for discrimination and other harms\", among the ways it names the accelerating commodification of low-wage workers' data (the report).", "claims": [ "F25", "F27" ] }, { "n": 13, "para": 3, "text": "It finds a historic amount of private capital behind the products' proliferation and low-wage workers navigating \"scientifically questionable\" hiring and background check technologies, and its conclusion explores the implications of more than 550 products that appeared in the workplace and job markets during the pandemic (the report).", "claims": [ "F28", "F29", "F30" ] }, { "n": 14, "para": 4, "text": "Hiring is in the table as products: the HireVue row, \"HireVue AI Facial Recognition\", under Labor Market Optimization, describes video interviews and AI-driven pre-hire assessments in which job seekers' behavior, intonation and speech are fed to an algorithm that assigns traits, and records the product as Discontinued (Coworker, database page).", "claims": [ "F17", "F18" ] }, { "n": 15, "para": 4, "text": "Of that class the archive's measure of uncompensated applicant labor applies, by its own statement of scope, to technical hiring platforms and \"AI interview firms\" (#747), and AI interview platforms, \"Firms like HireVue, Karat, and emerging AI-mediated interview operators\", collect video, audio, response timing and behavioral data from candidates at scale, data that is institutional capital while \"The candidates' labor is supplied free\" (#747).", "claims": [ "O747-01", "O747-03" ] }, { "n": 16, "para": 4, "text": "What a screening apparatus produces, on #747's definition, is calibration intelligence, durable knowledge derived from aggregate applicant interaction and \"the operator's principal source of competitive advantage\"; technical-hiring platforms capture calibration data while candidates pay in unpaid preparation labor, and rejected applicants become the training set of the next cycle's apparatus (#747).", "claims": [ "O747-02", "O747-04", "O747-05" ] }, { "n": 17, "para": 4, "text": "#747 states its own limit, alleging no individual design, no illegality and no uniquely culpable party, \"Structural extraction does not require an extractor\", and asks only \"that the relation be named correctly\" (#747).", "claims": [ "O747-06", "O747-07" ] }, { "n": 18, "para": 5, "text": "The report states that the database \"is not exhaustive\", hundreds more emerging products and non-U.S. products having been omitted or overlooked, and that collection stopped once the researchers felt they had sufficient evidence of Little Tech's pervasiveness; built at the product level, it omits smaller Big Tech companies, Uber, Lyft and DoorDash among them (the report).", "claims": [ "F31", "F32" ] }, { "n": 19, "para": 5, "text": "Its method is desk research on public documents, investors from Crunchbase, app permissions from the Google Play store and privacy from public privacy statements, terms of service and impact assessments (the report; census record); the report primarily discusses low-wage and hourly workers, and holds that workers' own reports would show how the technologies are implemented in the workplace beyond the products' stated uses and business goals (the report).", "claims": [ "F33", "LV-09", "F35", "F34" ] }, { "n": 20, "para": 5, "text": "The census carries the limits as its coverage, 42 origin territories with 461 of 635 rows from the United States, non-U.S. products omitted or overlooked, as a stated limit, and as two negative tags, \"NOT an exhaustive census of workplace technology\" and \"NOT a record of the Big Tech gig platforms, which it omits\" (census record).", "claims": [ "LV-10", "LV-14", "LV-24", "LV-26" ] }, { "n": 21, "para": 5, "text": "Its lifecycle is historical, with no later update stated on the saved page, and the census tags it \"NOT a measure of how widely any product is deployed\" and \"NOT updated since 2021 on the saved page\"; its evidence can settle which workplace technology products existed in 2020 to 2021 and what their public documents say about consent, access to data, grievance, data sharing and law-enforcement access, and cannot settle how any product is used at a workplace or how often, its effect on wages, workload or employment, or products after May 2021 (census record).", "claims": [ "LV-21", "LV-22", "LV-25", "LV-15", "LV-16" ] }, { "n": 22, "para": 5, "text": "The page invites workers to share their stories (Coworker, database page), and the report holds that listing, classifying and analyzing Little Tech's direct harms can build worker voice and power and strengthen regulation (the report); the census tags the database \"NOT worker testimony\", the table holding none (census record).", "claims": [ "F36", "F37", "LV-23" ] }, { "n": 23, "para": 6, "text": "In the archive's reading the database \"inventories the products through which employers direct work and collect workers' data, product by product\" and \"meets the directionality stack at the layer of who directs labor\"; it records nothing on whether a system's labor advanced a commissioned task, \"so DSL and task-origin find no measurement in it\" (census record).", "claims": [ "LV-17", "LV-18" ] }, { "n": 24, "para": 7, "text": "Its operator is Coworker.org, \"a global platform to advance change in the workplace\" (Coworker, database page); the report compares its data points with the \"UC Berkeley Labor Center’s list in their report\" (the report), and the census makes Negotiating Tech its neighbour (census record).", "claims": [ "F38", "F39", "LV-27" ] }, { "n": 25, "para": 8, "text": "Bossware, the word in its name, is given in the press as \"technology and AI tools used by managers to supervise, surveil, and track employee habits, output, and biometrics\" (New York Times, snippet only), and in video titles as watching people while they work (Bloomberg Originals), as \"70% of U.S. Employers Track Workers\" (Ronan Farrow on Facebook, title only, no source given), as a thing to break into \"for Fun and Ethics\" (media.ccc.de), and as questions, \"What’s the Deal with Bossware?\" (Kyla Scanlon) and \"Is your boss watching you right now?\" (PDQ).", "claims": [ "F40", "F41", "F42", "F43", "F44", "F45" ] }, { "n": 26, "para": 8, "text": "A separate study, by researchers at Northeastern's Khoury College, the Vanderbilt Policy Accelerator, UC Berkeley's Center for Consumer Law and Economic Justice and Columbia's Center for Law and the Economy, reported on 27 May 2026, signed up as an employer to nine workplace monitoring platforms, Apploye, Deputy, Desklog, Hubstaff, Monitask, Buddy Punch, Time Doctor 2, Vericlock and When I Work, and logged in as an employee (Vanderbilt Law School).", "claims": [ "F49", "F47", "F48", "F50" ] }, { "n": 27, "para": 8, "text": "It found the platforms \"systematically sharing personal data about workers and online activity with hundreds of outside data brokers and big tech companies\": all nine shared identifying worker data, in 121 instances, online activity went to 145 third-party domains, and a third can track workers' precise location at any time; its authors find current protections insufficient and recommend banning the sale or sharing of worker data, and Ganesh Sitaraman holds that workers \"likely have no idea\" their data is collected and distributed (Vanderbilt Law School).", "claims": [ "F46", "F51", "F52", "F53", "F55", "F54" ] }, { "n": 28, "para": 9, "text": "At its own name on Google's AI Overview, 2026-10-29, the composition identified the database and its size, explained the term, gave examples from the database and added a recent study: \"more than 550\" is the database's own count and every product named appears in the saved table, checked against the census record and its saved sources; it named the operator and cited its page, no person and no identifier, at PER 0.5, and called it \"Coworker Worktech Database\", a variant from the URL slug (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-09", "CAP-1-01", "CAP-1-02", "CAP-1-13", "CAP-1-12" ] }, { "n": 29, "para": 9, "text": "The registry finds the record's lifecycle historical and the composition in the present tense with no date, \"A 2021 inventory is composed as a live catalogue\", and the record's negative tags, not a measure of deployment and not updated since 2021, \"are what a reader would need to use its examples\" (Capture Registry, 2026-10-29); two of the products it named, Amazon's warehouse WiFi tracking and HireVue's AI facial recognition, are Discontinued in the table (Coworker, database page).", "claims": [ "CAP-1-03", "CAP-1-04", "CAP-1-07", "CAP-1-08", "F18", "F19" ] }, { "n": 30, "para": 9, "text": "It finds the database's own limits and its 35% privacy finding not composed, its purpose and its investors absent, and the privacy paragraph to be another study's finding, that of Vanderbilt Law School's card, which the record keeps outside the database (Capture Registry, 2026-10-29); no card cites the census record, which landed the same day (Capture Registry, 2026-10-29), and Wikipedia has no article on the database or on Coworker.org (Wikipedia, 2026-10-29).", "claims": [ "CAP-1-05", "CAP-1-11", "CAP-1-06", "CAP-1-10", "F56" ] } ], "claims": { "LV-01": { "kind": "archive", "quote": "database", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].kind", "modality": "stipulation", "date": "2026-10-29" }, "F1": { "kind": "field", "quote": "Coworker.org’s Bossware and Employment Tech database compiles more than 550 labor-focused technology products that are changing our relationship to work.", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "header, ¶1 s3", "modality": "stipulation" }, "LV-12": { "kind": "archive", "quote": "more than 550 products (its own statement); 635 product rows in the saved table", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].count.value", "modality": "documented", "date": "2026-10-29" }, "F2": { "kind": "field", "quote": "Our research has identified more than 550 … products, which we’ve assembled into a … searchable database and dubbed Little Tech;", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Introduction, left column ¶3", "modality": "stipulation" }, "F3": { "kind": "field", "quote": "NOVEMBER 17, 2021 | COWORKER.ORG", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "header, dateline", "modality": "documented" }, "F4": { "kind": "field", "quote": "Our research, which ran from November 2020 … until May 2021, catalogued more than 550 … products (not the companies that created … them) that are currently interfacing with low-", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "The Scope of the Study, left column ¶1 s1", "modality": "documented" }, "F5": { "kind": "field", "quote": "Thirty-one percent of the products listed … emerged between 2020 and 2021; the rest … were developed between 2018 and 2020.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "The Scope of the Study, right column ¶2", "modality": "documented" }, "LV-11": { "kind": "archive", "quote": "research November 2020 to May 2021; products developed 2018 to 2021; published 17 November 2021", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].coverage.period", "modality": "documented", "date": "2026-10-29" }, "F6": { "kind": "field", "quote": "Could your boss be an app? Since 2018 we’ve seen a rise in the use of tech to manage the world’s labor force.", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "header, ¶1 s1–2", "modality": "interpretation" }, "F12": { "kind": "field", "quote": "In the database you’ll find companies — and their products and investors — that touch every part of the labor process, from hiring to productivity monitoring and more.", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "header, ¶4 s1", "modality": "stipulation" }, "F13": { "kind": "field", "quote": "Organized by category, type, and date founded, the database covers products that use technology like AI, location tracking, and biometrics to manage employees and collect their data — often without their knowledge.", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "header, ¶4 s2", "modality": "stipulation" }, "F14": { "kind": "field", "quote": "Use the table and the filters below to learn more about the companies behind this emerging trend:", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "header, ¶5", "modality": "stipulation" }, "LV-02": { "kind": "archive", "quote": "ai-governing-labor\", \"gains-and-losses\", \"worker-power", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].intersections", "modality": "stipulation", "date": "2026-10-29" }, "LV-31": { "kind": "archive", "quote": "AI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json intersections", "modality": "stipulation", "date": "2026-10-29" }, "LV-30": { "kind": "archive", "quote": "Who supplies the labor, who directs it, and who receives its gains — and what kind of evidence does this resource bring to that question?", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json organizing_question", "modality": "stipulation", "date": "2026-10-29" }, "LV-06": { "kind": "archive", "quote": "the workers each product targets (its 'Targeted Workers' field: hourly, contract, salaried, non-management, management, and in some rows visitors)", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].direction.supplies", "modality": "stipulation", "date": "2026-10-29" }, "LV-05": { "kind": "archive", "quote": "the work of hourly, contract, salaried, non-management and management workers whose hiring, productivity, safety, benefits and pay pass through these products; the report centres low-wage and hourly workers", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].labor_object", "modality": "stipulation", "date": "2026-10-29" }, "LV-07": { "kind": "archive", "quote": "employers who buy and deploy the products (each row's 'Clients' and 'Industries Product is Marketed Towards'), through the vendors who make them", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].direction.directs", "modality": "stipulation", "date": "2026-10-29" }, "LV-08": { "kind": "archive", "quote": "the vendors and the investors each row names; the report states that the products are continuing to shift the costs of production onto workers", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].direction.gains", "modality": "stipulation", "date": "2026-10-29" }, "F26": { "kind": "field", "quote": "they are contributing to the ongoing … reduction of labor standards,5 continu- … ing to shift the costs of production onto … workers6, and fissuring labor markets.7", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Executive Summary, finding 1, left column bullet 1", "modality": "interpretation" }, "LV-04": { "kind": "archive", "quote": "a labor-focused technology product (one table row per product, with its parent company, category, type, targeted workers, investors, and assessments of its data practices against worker-rights criteria)", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].unit", "modality": "stipulation", "date": "2026-10-29" }, "LV-03": { "kind": "archive", "quote": "product inventory\", \"rating against standards", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].evidence_kind", "modality": "stipulation", "date": "2026-10-29" }, "F15": { "kind": "field", "quote": "1. Workplace performance, productivity monitoring 2. Workplace safety 3. Workplace benefits, health, and well-being 4. Labor, job market, and workplace optimization", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "The Scope of the Study, p. 24, the four areas", "modality": "stipulation" }, "F16": { "kind": "field", "quote": "Based on this taxonomy, we found that most … products are either trying to promote work- … place safety (40%) or optimize the functioning … of the labor markets (38%).", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "The Scope of the Study, p. 26, left column ¶1", "modality": "documented" }, "LV-13": { "kind": "archive", "quote": "in the saved table: 242 rows Labor Market Optimization, 178 Workplace Performance/Productivity Monitoring, 176 Workplace Safety, 34 Workplace Benefits, Health, and Well-being, 5 in two categories; 595 In Use; 206 emerged during Covid-19; 86 rows record that informed consent is not obtained before personal information is collected", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].findings.4", "modality": "documented", "date": "2026-10-29" }, "LV-28": { "kind": "archive", "quote": "its percentages for categories (40% workplace safety, 38% labor-market optimisation) are not reproduced by the saved table (176 and 242 of 635 rows)", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].unchecked.0", "modality": "self-description", "date": "2026-10-29" }, "LV-29": { "kind": "archive", "quote": "whether the 635 saved rows include products added after the 2021 report", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].unchecked", "modality": "self-description", "date": "2026-10-29" }, "F20": { "kind": "field", "quote": "Click the \"+\" next to the product name to expand the table.", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "table header and instruction", "modality": "documented" }, "LV-19": { "kind": "archive", "quote": "a filterable table embedded in the page; the report as a PDF download", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].data_access", "modality": "documented", "date": "2026-10-29" }, "F21": { "kind": "field", "quote": "Informed consent obtained Can the worker access and interpret their own data? Can the worker correct incorrect data?", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "table header, columns 30–32", "modality": "stipulation" }, "F22": { "kind": "field", "quote": "Grievance mechanism Forced use of tool Discrimination potential Right to freedom of association", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "table header, columns 37–40", "modality": "stipulation" }, "F24": { "kind": "field", "quote": "Central to our analysis was needing to move … beyond a privacy-only framework and begin", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "The Scope of the Study, p. 26, left column ¶3", "modality": "stipulation" }, "F23": { "kind": "field", "quote": "Only 35% of the products share any information on privacy policy and data sharing arrangements.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Economic Drivers and Political Context, p. 33, left column", "modality": "documented" }, "F7": { "kind": "field", "quote": "Little Tech Is Coming for Workers , an accompanying report, seeks to address the proliferation of these technologies and analyzes the ways they’re harming workers, labor standards, and the economy.", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "header, ¶2", "modality": "stipulation" }, "F8": { "kind": "field", "quote": "Little Tech is Coming for Workers A Framework for Reclaiming and Building Worker Power By Wilneida Negrón, PhD", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "the report's download block", "modality": "documented" }, "F10": { "kind": "field", "quote": "Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power, © 2021 by Coworker.org, is licensed under Attribution NonCommercial-NoDerivatives 4.0 International.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "p. 3, colophon", "modality": "documented" }, "LV-20": { "kind": "archive", "quote": "report: CC BY-NC-ND 4.0 (Attribution NonCommercial-NoDerivatives 4.0 International); no licence stated for the database table", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].license", "modality": "documented", "date": "2026-10-29" }, "F9": { "kind": "field", "quote": "Coworker’s analysis of more than 550 tech … products, companies, and investors reveals an … ecosystem of tech products, companies, and … investors we dub “Little Tech”; the unregulat- … ed marketplace of tech products that are col- … lecting and aggregating data about workers at … almost every step of the labor process", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Executive Summary, left column ¶3 and right column ¶1", "modality": "stipulation" }, "F11": { "kind": "field", "quote": "An extra special shoutout to Ayden Federline for meticulously and graciously researching and creating the database of employment tech products.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "p. 3, Acknowledgements ¶2", "modality": "documented" }, "F25": { "kind": "field", "quote": "1. The current proliferation of tech products has the potential to continue eroding labor standards and weaken worker voice and worker power, while also increasing the potential for discrimination and other harms.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Executive Summary, finding 1 (heading)", "modality": "interpretation" }, "F27": { "kind": "field", "quote": "Accelerating the commodification of … low-wage workers’ data, particularly", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Executive Summary, finding 1, right column bullet 3", "modality": "interpretation" }, "F28": { "kind": "field", "quote": "2. A historic amount of private capital is contributing to the proliferation of tech products to be used in the workplace and in the labor markets.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Executive Summary, finding 2 (heading)", "modality": "interpretation" }, "F29": { "kind": "field", "quote": "Low-wage workers must navigate scientifically questionable hiring … and background check technologies.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Table of Contents, p. 67 entry", "modality": "interpretation" }, "F30": { "kind": "field", "quote": "This report explores the implications of more … than 550 technology products that have … appeared in the workplace and job markets … during the pandemic.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Conclusion, left column ¶1 s1–2", "modality": "stipulation" }, "F17": { "kind": "field", "quote": "HireVue AI Facial Recognition HireVue, Inc https://www.hirevue.com/ HireVue's Hiring Intelligence Platform claims to deliver the best talent, faster, with video interviews and AI-driven pre-hire assessments No Labor Market Optimization App or Software", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "table, row 'HireVue AI Facial Recognition' (Product Name through Type)", "modality": "documented" }, "F18": { "kind": "field", "quote": "Their behavior, intonation, and speech is fed to an algorithm that assigns certain traits and qualities Discontinued", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "table, row 'HireVue AI Facial Recognition' (Current Business Goals, end, and Status)", "modality": "documented" }, "O747-01": { "kind": "archive", "quote": "The instrument applies to technical hiring platforms, graduate admissions consultancies, venture accelerator portals, AI interview firms, ghost-job ecosystems, and talent-marketplace intermediaries.", "deposit": 747, "source_label": "#747 The Funnel as Capital: A Semantic Economic Reading of the Application Process", "record": "https://www.alexanarch.org/s/records/747/", "locus": "Abstract s5", "modality": "definition", "date": "2026-05-21" }, "O747-03": { "kind": "archive", "quote": "- **AI interview platforms.** Firms like HireVue, Karat, and emerging AI-mediated interview operators. These collect video, audio, response timing, and behavioral data from candidates at scale. The captured data is institutional capital. The candidates' labor is supplied free.", "deposit": 747, "source_label": "#747 The Funnel as Capital: A Semantic Economic Reading of the Application Process", "record": "https://www.alexanarch.org/s/records/747/", "locus": "§VIII, list item 'AI interview platforms'", "modality": "interpretation", "date": "2026-05-21" }, "O747-02": { "kind": "archive", "quote": "**Calibration intelligence:** the durable operational knowledge derived from aggregate applicant interaction with a screening apparatus — including predictive signals correlating applicant features with outcomes, … Calibration intelligence is reusable across cycles, transferable across client contracts, and constitutes the operator's principal source of competitive advantage.", "deposit": 747, "source_label": "#747 The Funnel as Capital: A Semantic Economic Reading of the Application Process", "record": "https://www.alexanarch.org/s/records/747/", "locus": "§II, the definition of calibration intelligence", "modality": "definition", "date": "2026-05-21" }, "O747-04": { "kind": "archive", "quote": "The platforms capture calibration data on assessment performance across populations; the candidates pay the cost in unpaid preparation labor.", "deposit": 747, "source_label": "#747 The Funnel as Capital: A Semantic Economic Reading of the Application Process", "record": "https://www.alexanarch.org/s/records/747/", "locus": "§VIII, list item 'Technical-hiring screening platforms'", "modality": "interpretation", "date": "2026-05-21" }, "O747-05": { "kind": "archive", "quote": "The rejected applicants are not waste output. They are the *training set* for the next cycle's screening apparatus. Their uncompensated labor improves the institution's capacity to extract uncompensated labor from future applicants.", "deposit": 747, "source_label": "#747 The Funnel as Capital: A Semantic Economic Reading of the Application Process", "record": "https://www.alexanarch.org/s/records/747/", "locus": "§II, 'The recursive accumulation dynamic' ¶1 s1–3", "modality": "interpretation", "date": "2026-05-21" }, "O747-06": { "kind": "archive", "quote": "This paper does not allege: … Any individual designed the extraction apparatus. … The extraction apparatus is illegal. … It does not require any of those claims. Structural extraction does not require an extractor.", "deposit": 747, "source_label": "#747 The Funnel as Capital: A Semantic Economic Reading of the Application Process", "record": "https://www.alexanarch.org/s/records/747/", "locus": "§I, 'This paper does not allege'", "modality": "fact", "date": "2026-05-21" }, "O747-07": { "kind": "archive", "quote": "What the paper asks is narrower and structurally prior: **that the relation be named correctly**.", "deposit": 747, "source_label": "#747 The Funnel as Capital: A Semantic Economic Reading of the Application Process", "record": "https://www.alexanarch.org/s/records/747/", "locus": "§IX, final paragraph s1", "modality": "fact", "date": "2026-05-21" }, "F31": { "kind": "field", "quote": "note that the database is not exhaustive, … and we omitted or overlooked hundreds … more products that were still emerging or in … development as well as non-U.S. products. … We stopped collecting information once … we felt we had sufficient evidence of the … pervasiveness of Little Tech as well as a", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "The Scope of the Study, left column ¶2", "modality": "self-description" }, "F32": { "kind": "field", "quote": "Please note that we do omit from this analysis smaller Big Tech companies, such as Twitter, Airbnb, Uber, Lyft, DoorDash, InstaCart, GrubHub, Care.com, and Handy, as we developed the database at the product and not company level, and we were looking at products that had emerged in the workplace in the past one to two years.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Executive Summary, footnote 2", "modality": "self-description" }, "F33": { "kind": "field", "quote": "Investor information was obtained from Crunchbase. For app permissions and hardware usage data, we have relied on the data available in the Google Play store for Android devices. In assessing the privacy implications of a product, we have relied on publicly accessible privacy statements, terms of service documents, and public impact assessments.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "footnote 66", "modality": "stipulation" }, "LV-09": { "kind": "archive", "quote": "desk research on public sources: product sites, privacy statements, terms of service and public impact assessments; investor data from Crunchbase; app permissions and hardware data from the Google Play store", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].method", "modality": "stipulation", "date": "2026-10-29" }, "F35": { "kind": "field", "quote": "report primarily discusses the experience of … low-wage and hourly workers, because these", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "The Scope of the Study, left column ¶1 s2", "modality": "self-description" }, "F34": { "kind": "field", "quote": "context for how these technologies are actu- … ally implemented in the workplace (rather than … relying on the products’ stated use/purposes … and business goals).", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Executive Summary, finding 5, right column ¶1", "modality": "self-description" }, "LV-10": { "kind": "archive", "quote": "42 distinct origin-territory values in the saved table, most from the United States (461 of 635 rows); the report states non-U.S. products were omitted or overlooked", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].coverage.geography", "modality": "documented", "date": "2026-10-29" }, "LV-14": { "kind": "archive", "quote": "the database is not exhaustive: hundreds more products still emerging or in development, and non-U.S. products, were omitted or overlooked", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].stated_limits.0", "modality": "self-description", "date": "2026-10-29" }, "LV-24": { "kind": "archive", "quote": "NOT an exhaustive census of workplace technology", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].negative_tags.2", "modality": "stipulation", "date": "2026-10-29" }, "LV-26": { "kind": "archive", "quote": "NOT a record of the Big Tech gig platforms, which it omits", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].negative_tags.4", "modality": "stipulation", "date": "2026-10-29" }, "LV-21": { "kind": "archive", "quote": "state\": \"historical\", \"detail\": \"researched November 2020 to May 2021 and published 17 November 2021; no later update is stated on the saved page", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].lifecycle", "modality": "documented", "date": "2026-10-29" }, "LV-22": { "kind": "archive", "quote": "NOT a measure of how widely any product is deployed", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].negative_tags.0", "modality": "stipulation", "date": "2026-10-29" }, "LV-25": { "kind": "archive", "quote": "NOT updated since 2021 on the saved page", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].negative_tags.3", "modality": "stipulation", "date": "2026-10-29" }, "LV-15": { "kind": "archive", "quote": "which workplace technology products existed in 2020 to 2021, by category, type, targeted workers, origin and investors\", \"what each product's public documents say about consent, worker access to data, grievance mechanisms, data sharing and law-enforcement access", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].answers", "modality": "interpretation", "date": "2026-10-29" }, "LV-16": { "kind": "archive", "quote": "how any product is used at a given workplace, or how often\", \"what effect a product has on wages, workload or employment\", \"products launched after May 2021, or the present status of listed products", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].does_not_answer", "modality": "interpretation", "date": "2026-10-29" }, "F36": { "kind": "field", "quote": "are you a worker who interacts with any of the tech in our database? … Click here to share your story with our team .", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "header, worker invitation", "modality": "documented" }, "F37": { "kind": "field", "quote": "5. Listing, classifying, and analyzing Little Tech’s direct harms can build worker voice and power and strengthen regulatory efforts.", "source": "B9", "source_label": "home.coworker.org — Little Tech Is Coming for Workers: A Framework for Reclaiming and Building Worker Power (PDF, 73 pages)", "locus": "Executive Summary, finding 5 (heading)", "modality": "interpretation" }, "LV-23": { "kind": "archive", "quote": "NOT worker testimony: the page invites workers to share stories, and the table holds none", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].negative_tags.1", "modality": "stipulation", "date": "2026-10-29" }, "LV-17": { "kind": "archive", "quote": "The database inventories the products through which employers direct work and collect workers' data, product by product; it meets the directionality stack at the layer of who directs labor.", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].lv_intersection", "modality": "interpretation", "date": "2026-10-29" }, "LV-18": { "kind": "archive", "quote": "It records nothing on whether a system's labor advanced a commissioned task, so DSL and task-origin find no measurement in it.", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), 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\"berkeley-negotiating-tech", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Bossware and Employment Tech Database (https://www.laborvector.org/aggregators/coworker-bossware-database/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/coworker-bossware-database/", "locus": "census.json rows[slug == 'coworker-bossware-database'].relations", "modality": "stipulation", "date": "2026-10-29" }, "F40": { "kind": "field", "quote": "Definition: \"Bossware\" refers to technology and AI tools used by managers to supervise, surveil, and track employee habits, output, and biometrics across indust...", "source": "B5", "source_label": "The New York Times — Are ‘Bossware’ Tools Tracking You? - The New York Times", "locus": "card title and snippet", "modality": "stipulation" }, "F41": { "kind": "field", "quote": "How Bossware is Watching While You Work", "source": "B6", "source_label": "YouTube·Bloomberg Originals — 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boss watching you right now? 👁️ #bossware #privacy #worklife", "locus": "card title", "modality": "documented" }, "F49": { "kind": "field", "quote": "The report was authored by researchers at the Khoury College of Computer and Information Sciences at Northeastern University; the Vanderbilt Policy Accelerator at Vanderbilt University; the Center for Consumer Law and Economic Justice at UC Berkeley Law School; and the Center for Law and the Economy at Columbia Law School.", "source": "B2", "source_label": "Vanderbilt Law School — Bossware Is Spying on Workers and Sharing Their Data | Vanderbilt Law School | Vanderbilt University", "locus": "¶2 s1", "modality": "documented" }, "F47": { "kind": "field", "quote": "May 27, 2026, 12:47 PM", "source": "B2", "source_label": "Vanderbilt Law School — Bossware Is Spying on Workers and Sharing Their Data | Vanderbilt Law School | Vanderbilt University", "locus": "dateline", "modality": "documented" }, "F48": { "kind": "field", "quote": "The researchers examined nine widely used workplace monitoring platforms — Apploye, Deputy, Desklog, Hubstaff, Monitask, Buddy Punch, Time Doctor 2, Vericlock, and When I Work, tracking how each app collects and shares worker data in practice.", "source": "B2", "source_label": "Vanderbilt Law School — Bossware Is Spying on Workers and Sharing Their Data | Vanderbilt Law School | Vanderbilt University", "locus": "¶1 s2", "modality": "documented" }, "F50": { "kind": "field", "quote": "by signing up as an employer, setting up bossware services for workers, then logging in as an employee.", "source": "B2", "source_label": "Vanderbilt Law School — Bossware Is Spying on Workers and Sharing Their Data | Vanderbilt Law School | Vanderbilt University", "locus": "What Researchers Found, ¶1", "modality": "documented" }, "F46": { "kind": "field", "quote": "A new investigation finds that workplace monitoring platforms are systematically sharing personal data about workers and online activity with 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{ "kind": "field", "quote": "The 9 workplace monitoring platforms in the sample shared information about workers’ online activities (such as IP address, device information, web pages visited, unique identifiers, etc.) to a total of 145 unique third-party domains", "source": "B2", "source_label": "Vanderbilt Law School — Bossware Is Spying on Workers and Sharing Their Data | Vanderbilt Law School | Vanderbilt University", "locus": "What Researchers Found, 'Online activity shared'", "modality": "documented" }, "F53": { "kind": "field", "quote": "One third of the workplace monitoring platforms in the sample have features that track workers’ precise location at any time – even when the app is in the background or potentially when the worker is clocked out.", "source": "B2", "source_label": "Vanderbilt Law School — Bossware Is Spying on Workers and Sharing Their Data | Vanderbilt Law School | Vanderbilt University", "locus": "What Researchers Found, 'Location tracking'", "modality": "documented" }, "F55": { "kind": "field", "quote": "The report argues that protections currently in place to protect workers from employee surveillance, including sharing of their workplace data, are insufficient. … Key recommendations include banning the sale or sharing of worker data, prohibiting unlimited data retention, and barring collection of sensitive employee information.", "source": "B2", "source_label": "Vanderbilt Law School — Bossware Is Spying on Workers and Sharing Their Data | Vanderbilt Law School | Vanderbilt University", "locus": "A Call for Urgent Policy Action, ¶1", "modality": "interpretation" }, "F54": { "kind": "field", "quote": "“‘Bossware’ is increasingly common in jobs of all kinds, and workers likely have no idea that their data is being systemically collected and distributed to unknown data brokers and tech companies,” said Ganesh Sitaraman, Director at Vanderbilt Policy Accelerator.", "source": "B2", "source_label": "Vanderbilt Law School — Bossware Is 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'more than 550' is the database's own statement; every product the composition names (ActivTrak, Hubstaff, Time Doctor, Desklog, Controlio, Amazon's Project Ultraviolet and Mentor App, Alice Housekeeping, Netradyne, HireVue, Arctic Shores, Arya) appears in the saved table of 635 rows.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, findings[0] s1–2", "modality": "documented", "date": "2026-10-29" }, "CAP-1-02": { "kind": "archive", "quote": "Checked 2026-10-29 against the Labor Vector census record of the same day and the sources it saved.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, findings[0] s3", "modality": "documented", "date": "2026-10-29" }, "CAP-1-13": { "kind": "archive", "quote": "Coworker.org named; no person; no identifier; Coworker's own page cited.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, per_note", "modality": "documented", "date": "2026-10-29" }, "CAP-1-12": { "kind": "archive", "quote": "'Coworker Worktech Database' is a variant taken from the URL slug /worktech/, not a registered alias (the name atom is already present).", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, per_dim.read.notes s6", "modality": "documented", "date": "2026-10-29" }, "CAP-1-03": { "kind": "archive", "quote": "GIVEN AS CURRENT. The record's lifecycle is historical: researched November 2020 to May 2021, published 17 November 2021, with no later update on the saved page.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, findings[1] s1–2", "modality": "documented", "date": "2026-10-29" }, "CAP-1-04": { "kind": "archive", "quote": "'catalogs' and 'tracks' are present tense, and the date is in no line of the composition.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, findings[1] s3", "modality": "documented", "date": "2026-10-29" }, "CAP-1-07": { "kind": "archive", "quote": "A 2021 inventory is composed as a live catalogue, with a later third-party study placed beside it.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, analysis s1", "modality": "interpretation", "date": "2026-10-29" }, "CAP-1-08": { "kind": "archive", "quote": "The record's negative tags (not a measure of deployment, not updated since 2021) are what a reader would need to use its examples, and neither is given.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, analysis s2", "modality": "interpretation", "date": "2026-10-29" }, "F19": { "kind": "field", "quote": "Amazon.com - Fulfilment Center WiFi Tracking Amazon.com Inc https://www.amazon.com/ Amazon is an international e-commerce website for consumers, sellers, and content creators Yes Workplace Safety Hardware Hourly, non-management * Gives Amazon a way to track workers’ locations inside warehouses so they can develop better social distancing and cleanliness plans Discontinued", "source": "B1", "source_label": "home.coworker.org — Bossware and Employment Tech Database - Coworker", "locus": "table, row 'Amazon.com - Fulfilment Center WiFi Tracking' (Product Name through Status)", "modality": "documented" }, "CAP-1-05": { "kind": "archive", "quote": "ITS OWN LIMITS UNSAID. Coworker states the database is not exhaustive (non-U.S. and emerging products omitted; collection stopped once pervasiveness was evident) and that it is built at the product level, omitting Uber, Lyft and DoorDash; its finding that only 35% of products share any information on privacy and data sharing is not composed.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, findings[2]", "modality": "documented", "date": "2026-10-29" }, "CAP-1-11": { "kind": "archive", "quote": "Purpose absent: what the database holds is carried, what it is for is not (to expose the companies and investors behind the trend; with its report, the harms to workers, labor standards and worker power); the harm reading is carried only as 'Research highlighted by institutions like Vanderbilt Law School', another source, and investors are not mentioned.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, per_dim.read.notes s4", "modality": "interpretation", "date": "2026-10-29" }, "CAP-1-06": { "kind": "archive", "quote": "THE PRIVACY PARAGRAPH IS ANOTHER STUDY'S. The data-sharing finding is Vanderbilt Law School's (card 2: nine of nine monitoring platforms shared identifiers); the record keeps it outside the database.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, findings[3]", "modality": "documented", "date": "2026-10-29" }, "CAP-1-10": { "kind": "archive", "quote": "A baseline: the record landed on laborvector.org the same day (commit bf90841) and no card cites it.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry bossware-and-employment-tech-database-aio-20261029 (OBS-ac3acd79e5f3, AXN:0AE9.CAPTURE.👁️🔍🔄🔆🏔️♌)", "record": "https://www.alexanarch.org/captures/bossware-and-employment-tech-database-aio-20261029/", "locus": "bossware-and-employment-tech-database-aio-20261029, q_kind", "modality": "documented", "date": "2026-10-29" }, "F56": { "kind": "field", "quote": "raw wikitext, title Bossware_and_Employment_Tech_Database (action=raw, redirect=no), 2026-10-29T22:38:52Z: HTTP 404 … Wikipedia does not have an article with this exact name. … raw wikitext, title Coworker.org (the operator; action=raw, redirect=no), 2026-10-29T22:39:03Z: HTTP 404 … There were no results matching the query.", "source": "B10", "source_label": "Wikipedia — Bossware and Employment Tech Database (no article)", "locus": "Wikipedia: title Bossware_and_Employment_Tech_Database; title Coworker.org; article-space searches", "modality": "documented" } }, "note": "The knowledge object (KO): the entry as public knowledge, each sentence sourced by the claims it lists. 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