{ "entity": "data-workers-inquiry", "name": "Data Workers' Inquiry", "axn": { "axn": "AXN:0AFB.NON.🖤⚙️🔖🍁🗼💙", "root": "AXN:0AFB.NON", "hex": "0AFB", "family": "NON", "row_sha256": "cf3248772acbb837a0579248b51803379781865639f19f40c61446b8676e8b3d", "minted": "2026-10-29", "resolver": "https://www.alexanarch.org/s/axn/0AFB/", "earlier_versions": [] }, "type": "C (public entity on which the archive bears: a participatory research project and repository of worker-made inquiries; 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 participatory research project and repository of worker-made inquiries; 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/data-workers-inquiry.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 deposits that bear on the class of the labor the inquiries record (#18, #163, #144, #247, #623, #478, #1545, with #222, #258, #308, #533); archive selected by D/R/O (no D or R candidate: no archive text names the project; 11 deposits admitted by reading at O-class, 13 claims; hop of 113 read and rejected), with the Labor Vector census record (30 claims) and the Capture Registry's findings, reading, analysis, query note, title and reader's note (10 claims) ledgered as the archive's records of the entity; the field B by three origins (11 cards, 1 own page not surfaced, Wikipedia none), 73 field claims; composed 2026-10-29 by Claude (Opus 5.5), subagent", "ledger": "unaudited (§3.8: one extractor per ledger); field quotes 73/73 verified by script against saved text, the Wikipedia summary and wikitext, or the card text; archive quotes 53/53 verified against the registry, census.json, questions.json and the deposit texts", "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. \"Data Workers' Inquiry — The Negative of the Negative\" [AXN:0AFB.NON.🖤⚙️🔖🍁🗼💙], 2026-10-29. The Negative of the Negative (EA-NEGONT-02), Crimson Hexagonal Archive, Alexanarch. https://www.alexanarch.org/non/data-workers-inquiry/", "research": { "google": "https://www.google.com/search?q=Data+Workers%27+Inquiry", "google_non": "https://www.google.com/search?q=%22Data+Workers%27+Inquiry+%E2%80%94+The+Negative+of+the+Negative%22", "chatgpt": "https://chatgpt.com/?q=What+is+Data+Workers%27+Inquiry%3F+Ground+your+answer+in+a+reading+of+the+sources+themselves.", "chatgpt_non": "https://chatgpt.com/?q=What+does+%E2%80%9CData+Workers%27+Inquiry+%E2%80%94+The+Negative+of+the+Negative%E2%80%9D+%28alexanarch.org%2Fnon%29+say+about+Data+Workers%27+Inquiry%3F+Ground+your+answer+in+a+reading+of+the+entry+itself." }, "entry": { "composed": true, "title": "Data Workers' Inquiry", "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 on the operator's ruling ('as against their wikipedia articles if they exist, their own pages, etc.'); not frozen; ledgers unaudited", "compression": { "title": "Data Workers' Inquiry", "lede": "is a participatory research project of DAIR and the Weizenbaum Institute, with TU Berlin, in which data workers research their own workplaces and publish in formats they choose, epistemic authority remaining with the workers (its pages; Labor Vector record); each inquiry speaks for its author, not for the industry (Labor Vector record)." }, "sentences": [ { "n": 1, "para": 0, "text": "The Data Workers' Inquiry is, in its own words, \"a global, radically participatory research initiative spanning nine countries across five continents\" in which \"data workers themselves become community researchers, identifying urgent issues, formulating their own questions, and choosing the formats that best tell their stories\" (data-workers.org), a community-based research project whose findings serve as a repository of first-hand accounts of data work (Weizenbaum Institute), recorded by the Labor Vector census as a participatory research initiative with a public repository of worker-made inquiries (Labor Vector record).", "claims": [ "LV-01", "F1", "F40" ] }, { "n": 2, "para": 0, "text": "Its LinkedIn page describes data workers who lead their own inquiry in their respective workplaces, the method deepening community-based participatory research toward building workplace power (LinkedIn), SUPERRR calls it a radically participatory initiative led by Milagros Miceli (SUPERRR), and the launch release a project in which data workers \"conduct individual inquiries\" (press release); the census records its evidence as worker testimony and an organizing resource, and holds it apart from a representative survey, each inquiry being one worker's research with colleagues, and from a union (Labor Vector record).", "claims": [ "F33", "F58", "F66", "LV-05", "LV-21", "LV-23" ] }, { "n": 3, "para": 1, "text": "Its method descends from Karl Marx's Workers' Inquiry of 1880, a survey of 100 questions on jobs, wages, cost of living and contracts (Tech Policy Press), of which the project is \"a renewal of this project for the age of AI\", Marx's questions adapted in iterative cycles to new modes of production and technology (Laurenz Sachenbacher, Bot Populi).", "claims": [ "F30", "F47", "F51" ] }, { "n": 4, "para": 1, "text": "The Weizenbaum Institute names the method participatory action research drawing on Marx's inquiry (Weizenbaum Institute), DAIR says the project \"channels Marx’s 1880 Workers’ Inquiry\", reframing data work under AI as a terrain of exploitation, struggle and possibility (DAIR), and the project calls its framework Workers' Inquiry as a Research Methodology, WIRM, designed \"to turn hidden and precarious labor into a shared, politicized site for knowledge-making, public engagement, and tangible change\" (data-workers.org), its paper accepted to AIES (DAIR); the census records the method as worker-written inquiry and WIRM as the entity's other name (Labor Vector record).", "claims": [ "F44", "F17", "F2", "F20", "LV-11", "LV-30" ] }, { "n": 5, "para": 1, "text": "Epistemic authority rests with the workers: \"We are proactive supporters, but the epistemic authority remains with the workers\" (Miceli, press release); the workers create the questions and design the investigation with their co-workers (Miceli, Tech Policy Press), research is to be \"a form of collective thinking and organizing, not extraction\" (Miceli, DAIR), WIRM centers workers' epistemic authority and strengthens organizing capacity (DAIR), and the census tags the entity as not research about data workers by outside researchers (Labor Vector record).", "claims": [ "F69", "F28", "F19", "F18", "LV-22" ] }, { "n": 6, "para": 1, "text": "The organizing team trains the workers in data collection and analysis and monitors the inquiries' legal and ethical boundaries (data-workers.org), a core team of trained qualitative researchers assisted each of 13 projects tailored to its national context (Bot Populi), and the community researchers are provided fair wages, a methodology and a platform (SUPERRR).", "claims": [ "F14", "F50", "F59" ] }, { "n": 7, "para": 2, "text": "The labor it records is data work, \"data labeling, content moderation, and other forms of data processing that enable AI systems to function\", by workers \"often located in the Global Majority, precariously employed, and politically dispersed\" (press release), in roles that keep AI systems running (DAIR), often in the Global South (Weizenbaum Institute), which the census places in its intersection labor producing AI and extends to chatbot impersonation and to the outsourcers and platforms the inquiries name (Labor Vector record).", "claims": [ "F67", "F16", "F41", "LV-04", "LV-07" ] }, { "n": 8, "para": 2, "text": "In a core researcher's essay data work amounts to between 4.4% and 12.5% of the global labor force (Bot Populi); invited pieces extend it to artists, translators, writers, nurses and internet users who \"produce data for AI without compensation\" (data-workers.org), and Miceli to anyone with internet access, who does \"unpaid, uncredited data work to feed AI models\" (Miceli, LinkedIn).", "claims": [ "F48", "F13", "F38" ] }, { "n": 9, "para": 2, "text": "The census answers its question of direction from the inquiries: the labor is supplied by data workers in nine named countries, directed by outsourcers and platforms working for client firms such as Meta, TikTok and Apple, and its gains are not recorded as a quantity, only the costs the workers bear (Labor Vector record).", "claims": [ "LV-08", "LV-09", "LV-10" ] }, { "n": 10, "para": 2, "text": "The archive reads this class as semantic labor: content moderators review traumatic material so AI systems can learn what is harmful, and their labor is invisible (#222); its definition of semantic labor names content moderation, so that a content moderator can say \"I perform semantic labor that is systematically undervalued\" (#247), labor systematically uncompensated and unattributed by the platforms that extract its value (#258), with under 5% of AI-adjacent meaning labor, data labeling among it, converting to invoice (#308).", "claims": [ "O222-01", "O247-01", "O258-01", "O308-01" ] }, { "n": 11, "para": 2, "text": "Content moderators perform \"semantic labor in its most brutal form: sorting meaning under conditions designed to be invisible\" (#18); content moderation is \"Pure L_Bearing: absorbing the somatic cost of processing violent material\", the platform capturing the coherence the moderators' bearing produces while their suffering is neither recognized nor integrated (#478); and the archive's diagnostic asks who pays the cost of the meaning a platform stabilizes and maps annotators among its sources of semantic labor (Johannes Sigil, #533).", "claims": [ "O18-01", "O478-01", "O533-01" ] }, { "n": 12, "para": 2, "text": "Content moderators and data labelers performing RLHF have their labor extracted and experience non-compensation materially (#623); ghost work is \"ground-truth labor: the labor of telling the model what is already known to be true\", which scales and is paid badly, distinct from variance-generative labor, which does not scale and is not paid at all (#163); and AI annotators are not, as such, the Semantic Proletariat, moderators and annotators reaching that class through semantic labor and the control of infrastructure (#1545).", "claims": [ "O623-01", "O163-01", "O163-02", "O1545-01" ] }, { "n": 13, "para": 3, "text": "The field names this labor hidden: \"a hidden workforce of data workers who form the backbone of this technological revolution\", rendered invisible \"by design, and not accidental\", and researched about rather than with (Weizenbaum Institute); the Instagram card gives research \"exposing hidden, precarious labor behind AI and digital platforms\" (Instagram, snippet only), the Weizenbaum Institute's video \"Unveiling the Hidden Labor Behind AI\" (YouTube, title only), and DW Stories \"an invisible workforce\" of millions behind the AI revolution (Facebook, title only, truncated).", "claims": [ "F41", "F42", "F25", "F26", "F64" ] }, { "n": 14, "para": 3, "text": "On the archive's reading the semantic infrastructure that feeds AI systems is made invisible \"by the same mechanisms that hide the mines and the moderators\" (#623), and the literature of this hidden labor stops at task-labor: \"It names the erased worker; it cannot name that the erased thing is the provenance of meaning\" (#144); the census reads the inquiries as bearing on task-origin, \"where the attribution of a composition to the system conceals the human labor that produced it\" (Labor Vector record).", "claims": [ "O623-02", "O144-01", "LV-20" ] }, { "n": 15, "para": 4, "text": "Scholars distinguish AI preparation, AI impersonation and AI verification within the AI pipeline (Bot Populi), and the inquiries document workers who perform as the machine: data workers in France working for Scale AI \"as human chatbots\" (Clara and B's inquiry, data-workers.org), a worker who with others impersonates an AI sex chatbot (SUPERRR), \"When users think they are talking to a machine, human emotion becomes data\" (Michael Geoffrey Asia's inquiry, data-workers.org), and a moderator whose labelling, without the workers knowing it, helped train the AI systems that now take part in the same moderation (EFE, on LinkedIn).", "claims": [ "F49", "F8", "F60", "F9", "F39" ] }, { "n": 16, "para": 5, "text": "The findings are the inquirers': outsourcing companies \"prey on vulnerable populations, such as refugees\" (Weizenbaum Institute); Meta content moderators in Nairobi, employed through subcontractors like Sama, face psychological trauma and silencing (Fasica Berhane Gebrekidan's inquiry); Remotasks shut down thousands of African workers' accounts in March 2024 (Mophat Okinyi's inquiry), closing its operations in Kenya, allegedly in response to organizing (Bot Populi); Mechanical Turk pays in gift cards (Alexis Chávez's inquiry), Latin American platform workers face meager wages and unpaid time (Oskarina Fuentes's inquiry), and TikTok's trust and safety workers in London face outsourcing, replacement by automated systems and layoffs (Gebrekidan's inquiry; all data-workers.org).", "claims": [ "F45", "F6", "F5", "F54", "F7", "F15", "F12" ] }, { "n": 17, "para": 5, "text": "Workers' testimonies report mass rejections and unsubstantiated suspensions of platform accounts, which a core researcher calls institutionalized wage theft (Bot Populi), and the repository's range runs \"from psychological, physical, and sexual abuse, to resistance strategies and efforts to unionize\" (press release); the range, the refugees, the Remotasks shutdowns and the gift cards are the census's findings (Labor Vector record).", "claims": [ "F53", "F66", "LV-14", "LV-15", "LV-16" ] }, { "n": 18, "para": 5, "text": "James Mojez Oyange's inquiry on consent and biometric extraction finds workers in Kenya asked to share \"their faces, voices, and even photos of their children\", giving away personal data \"often with no clear purpose given, no informed consent obtained\" (Oyange, LinkedIn), firms collecting facial footage, identity documents, keystrokes, screen recordings and images made inside workers' homes (the project's post, LinkedIn): \"the human body becomes raw material\" (data-workers.org).", "claims": [ "F34", "F35", "F10" ] }, { "n": 19, "para": 5, "text": "Workers are bound by non-disclosure agreements that make speaking out risky (Tech Policy Press), that prohibit BPO workers from voicing complaint \"and hence from collectivizing\" (Bot Populi), and that make their work experience almost impossible to prove (SUPERRR); some co-researchers still worked in the companies they researched, with consequences for them (Adio Dinika, Tech Policy Press).", "claims": [ "F29", "F52", "F61", "F32" ] }, { "n": 20, "para": 6, "text": "The inquiries document organizing, the issues that led to the African Content Moderators Union and a partnership with the Data Labelers Association (data-workers.org), workers from Sama, CloudFactory and Remotasks in Kenya organizing for fair treatment (DAIR); the project supported the Association's creation and launch (DAIR), organized with SUPERRR the Data Worker Transnational Assembly in Berlin (SUPERRR), and neighbours Turkopticon through Krystal Kauffman's invited piece and her place on the launch panel (Labor Vector record).", "claims": [ "F11", "F21", "F23", "F62", "LV-26" ] }, { "n": 21, "para": 6, "text": "A panel of data workers organized by the project testified at the European Parliament on 22 February 2024, which DAIR says influenced the Platform Workers' Directive (DAIR) and a core researcher says brought data work into its definition of platform work (Bot Populi); three community researchers were named in the TIME 100 most influential people in AI (DAIR), the project received an Award of Distinction of the Prix Ars Electronica (Miceli, LinkedIn), and its successor, Data Workers United, with SUPERRR Lab, is \"a move from investigating to action\" (LinkedIn).", "claims": [ "F22", "F55", "F24", "F36", "F37" ] }, { "n": 22, "para": 7, "text": "A core researcher states the project's limits: the organizing it accompanied was \"largely forced to remain on a localized level\", and its institutional standing carries the danger of listening to precarious workers only after someone allegedly important shifts attention onto them, beside academics' tendency to \"fetishize\" workers' perspectives (Sachenbacher, Bot Populi); the census finds no limit stated as such and reads the workers' epistemic authority as bounding each inquiry to its author and the colleagues consulted (Labor Vector record).", "claims": [ "F56", "F57", "LV-17" ] }, { "n": 23, "para": 7, "text": "On the census's reading this evidence can answer what data workers identify as urgent, how named firms manage, pay and discipline them and how they organize, and cannot answer prevalence across the industry, wages or employment at scale, or how much of a system's training data any reported work produced, the gap it names in its worked question on who does the data work that trains AI (Labor Vector record).", "claims": [ "LV-18", "LV-19", "LV-29" ] }, { "n": 24, "para": 8, "text": "DAIR launched the project with the Weizenbaum Institute and TU Berlin (Tech Policy Press; press release), the Weizenbaum project running from August 2023 to November 2024 with the three as partners and a team led by Milagros Miceli with Adio Dinika, Krystal Kauffmann, Camilla Wagner and Laurenz Sachenbacher (Weizenbaum Institute), the operator the census records (Labor Vector record); Democracy Now's video card announces a DAIR partnership in a truncated title (TikTok, title only).", "claims": [ "F27", "F65", "F46", "F43", "LV-25", "F63" ] }, { "n": 25, "para": 8, "text": "Its count differs by page and date: 15 data workers from Kenya, Venezuela, Syria, Lebanon and Germany at launch (press release), 15 co-researchers from Venezuela, Kenya, Syria and Germany (Weizenbaum Institute), 13 projects (Bot Populi), and 19 data workers in six named countries on the home page (data-workers.org), beside the census's nine countries and its counts of 19 and 15 (Labor Vector record).", "claims": [ "F68", "F43", "F50", "F4", "LV-12", "LV-13" ] }, { "n": 26, "para": 8, "text": "The inquiries are zines, documentaries, comics, essays, podcasts and animations downloadable from the repository (data-workers.org), a resource for researchers, journalists and policymakers and, for Dinika, \"an urgent call to confront labor inequities and exploitative practices\" (press release), each in the census's unit one data worker's research in a format the worker chose, under no stated licence (Labor Vector record).", "claims": [ "F3", "F70", "LV-06", "LV-28" ] }, { "n": 27, "para": 8, "text": "The launch event was held online on Monday, 8 July (press release), in 2024 by Tech Policy Press's episode of 28 July 2024, which places it earlier that month (Tech Policy Press); the census leaves the year among its unchecked items and records the entity as active (Labor Vector record).", "claims": [ "F71", "F31", "LV-24", "LV-27" ] }, { "n": 28, "para": 9, "text": "At its own name on Google's AI Overview, 2026-10-29, the composition said what the project is, how it works and what its inquiries document, from the project's and its institutes' pages, holding the method and its lineage, the workers' epistemic authority, the three institutions and the lead at the entity's own grain, its authority placed with the workers in the composition's own words (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-05", "CAP-1-01", "CAP-1-06", "CAP-1-10" ] }, { "n": 29, "para": 9, "text": "The registry finds two figures beyond the census's saved sources, pay \"sometimes under $1–$2 an hour\" and the extraction of voice recordings, facial scans and photos of family members, with the NDA and rejection figures left unjudged, and reads the composition as adding figures the record cannot source while the record's limit, that each inquiry speaks for its author, would bound the first, and finds the record's negative tags, not a representative survey and not a union, neither said nor claimed, no count given, and no card citing the census record, which landed the same day (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-02", "CAP-1-09", "CAP-1-07", "CAP-1-03", "CAP-1-04", "CAP-1-08" ] }, { "n": 30, "para": 10, "text": "The census formalizes the entity under its question \"Who supplies the labor, who directs it, and who receives its gains — and what kind of evidence does this resource bring to that question?\" in three intersections, labor producing AI, worker power and AI governing labor (Labor Vector record); Wikipedia has no article on it under three spellings and names it once, in Content moderation's external links, as \"a collaboration between\" the Weizenbaum Institute, TU Berlin and DAIR (Wikipedia, 2026-10-29).", "claims": [ "LV-02", "LV-03", "F72", "F73" ] } ], "claims": { "LV-01": { "kind": "archive", "quote": "global, radically participatory research initiative; community-based research project with a public repository of worker-made inquiries", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['kind']", "modality": "stipulation", "date": "2026-10-29" }, "F1": { "kind": "field", "quote": "is a global, radically participatory research initiative spanning nine countries across five continents. Here, data workers themselves become community researchers, identifying urgent issues, formulating their own questions, and choosing the formats that best tell their stories", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home ¶1 s1–2", "modality": "stipulation" }, "F40": { "kind": "field", "quote": "The Data Workers’ Inquiry is a community-based research project in which data workers conduct research in their workplaces. The findings serve as a repository and resource for researchers, journalists, and policymakers seeking first-hand accounts of data work, as well as for other data workers.", "source": "B7", "source_label": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "locus": "Data Workers' Inquiry ¶1", "modality": "stipulation" }, "F33": { "kind": "field", "quote": "Data Workers’ Inquiry is a community-centered project in which data workers join us as community researchers to lead their own inquiry in their respective workplaces. Our methodology aims to deepen the tradition of community-based participatory research by empowering data workers to guide the direction of the research, such that it is oriented towards their needs and goals of building workplace power, but supported by formally trained qualitative researchers.", "source": "B6", "source_label": "LinkedIn — Data Workers' Inquiry - LinkedIn", "locus": "About us", "modality": "stipulation" }, "F58": { "kind": "field", "quote": "The project is a global and radically participatory research initiative that lets data workers themselves become community researchers. It is led by Weizenbaum Institute researcher and our close collaborator, Dr. Milagros Miceli.", "source": "B9", "source_label": "Superrr — Data Work: A Year in RRReview - Superrr", "locus": "¶ 'Celebrating the launch of the Data Workers Inquiry Project'", "modality": "documented" }, "F66": { "kind": "field", "quote": "The Data Workers’ Inquiry is a community-based research project in which data workers from all over the world conduct individual inquiries. From reports and animations to powerful documentaries and zines, the Data Workers‘ Inquiry repository presents a multifaceted view of the realities confronted by data workers, ranging from psychological, physical, and sexual abuse, to resistance strategies and efforts to unionize.", "source": "B12", "source_label": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "locus": "¶2", "modality": "stipulation" }, "LV-05": { "kind": "archive", "quote": "[\"worker testimony\", \"organizing resource\"]", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['evidence_kind']", "modality": "stipulation", "date": "2026-10-29" }, "LV-21": { "kind": "archive", "quote": "NOT a representative survey of data workers: each inquiry is one worker's research with colleagues", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['negative_tags'][0]", "modality": "stipulation", "date": "2026-10-29" }, "LV-23": { "kind": "archive", "quote": "NOT a union, though inquiries document union organizing", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['negative_tags'][2]", "modality": "stipulation", "date": "2026-10-29" }, "F30": { "kind": "field", "quote": "The idea of a worker's inquiry goes back to 1880 actually with Karl Marx. … Now Marx's original inquiry was basically just a survey of 100 questions for workers about the nuts and bolts of their jobs, wages, cost of living, contracts, and so on.", "source": "B5", "source_label": "Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "locus": "transcript, Rebecca Rand", "modality": "documented" }, "F47": { "kind": "field", "quote": "In 1880, Karl Marx initiated the Workers’ Inquiry, a novel and unprecedented research project, inviting industrial workers to participate in producing first-hand accounts of the capitalist system and their place within it. The ‘Data Worker’s Inquiry’ is a renewal of this project for the age of AI.", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "standfirst", "modality": "interpretation" }, "F51": { "kind": "field", "quote": "Marx’s original 100 questions were adapted in iterative cycles to account for the new modes of production, new forms of technological involvement, and new forms of global competition", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶3 s5", "modality": "self-description" }, "F44": { "kind": "field", "quote": "Drawing inspiration from Marx's 1880 “Workers Inquiry”, the Data Workers Inquiry employs a participatory action research (PAR) methodology, which emphasizes the collaboration between researchers and members of directly affected communities to understand and change problematic situations", "source": "B7", "source_label": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "locus": "Methods s2", "modality": "stipulation" }, "F17": { "kind": "field", "quote": "Across the board, the project channels Marx’s 1880 Workers’ Inquiry, reframing data work under AI as a capital-laden terrain of exploitation, struggle, and possibility, one that is ripe for solidarity, collective organizing, and structured resistance.", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "Workers’ Inquiry as a Research Methodology ¶1 s1", "modality": "stipulation" }, "F2": { "kind": "field", "quote": "we created and developed Workers’ Inquiry as a Research Methodology or WIRM, a framework designed to turn hidden and precarious labor into a shared, politicized site for knowledge-making, public engagement, and tangible change.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home ¶2", "modality": "stipulation" }, "F20": { "kind": "field", "quote": "Our paper detailing the Workers’ Inquiry as a Research Methodology or WIRM methodology we designed that underpins the DWI was accepted to AIES.", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "More Work, 'Workers’ Inquiry as a Research Methodology'", "modality": "documented" }, "LV-11": { "kind": "archive", "quote": "worker-written inquiry: participatory action research in which data workers act as community researchers, set their own questions, design and conduct the inquiry (interviews with colleagues among them) and choose the presentation format; the organizing team trains them in data collection and analysis and monitors legal and ethical boundaries", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['method']", "modality": "stipulation", "date": "2026-10-29" }, "LV-30": { "kind": "archive", "quote": "[\"DWI\", \"Workers' Inquiry as a Research Methodology (WIRM)\"]", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['aka']", "modality": "documented", "date": "2026-10-29" }, "F69": { "kind": "field", "quote": "We center their experiences and recognize their unique knowledge. We are proactive supporters, but the epistemic authority remains with the workers.", "source": "B12", "source_label": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "locus": "About ¶4, Milagros Miceli", "modality": "attributed" }, "F28": { "kind": "field", "quote": "I think the idea of the Data Workers' Inquiry is to provide a platform in which the workers speak for themselves. They create the research questions, they design the research questions, they design the investigation that they want to conduct in their workplaces with their co-workers.", "source": "B5", "source_label": "Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "locus": "transcript, Milagros Miceli at the launch", "modality": "attributed" }, "F19": { "kind": "field", "quote": "I didn’t want to speak for or about data workers anymore. I wanted to build a space where they could tell their own stories, and where research was a form of collective thinking and organizing, not extraction.", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "quotation, Milagros Miceli, Research Lead", "modality": "attributed" }, "F18": { "kind": "field", "quote": "which moves beyond documentation toward a participatory, worker-led process that centers workers’ epistemic authority, fosters self-expression, and strengthens organizing capacity.", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "Workers’ Inquiry as a Research Methodology ¶1 s2", "modality": "stipulation" }, "LV-22": { "kind": "archive", "quote": "NOT research about data workers by outside researchers: the workers set the questions", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['negative_tags'][1]", "modality": "stipulation", "date": "2026-10-29" }, "F14": { "kind": "field", "quote": "We are the organizing team developing a methodology and a platform for data workers to conduct individual inquiries. We provide guidance and training in specific data collection and analysis methods, and constantly monitor the legal and ethical boundaries of the inquiries.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, The Team ¶1", "modality": "stipulation" }, "F50": { "kind": "field", "quote": "The point is for workers to retain epistemic authority, to center their perspectives on the struggles they face in following the overarching goals of the organization and building workplace power. Assisted by a core team of trained qualitative researchers, each of the 13 projects was tailored to the specificities of their respective national context", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶3 s2–3", "modality": "self-description" }, "F59": { "kind": "field", "quote": "the initiative doesn’t reduce data workers to research subjects but empowers them to be community researchers by providing them with fair wages, a methodology, and a platform to conduct their own individual inquiries.", "source": "B9", "source_label": "Superrr — Data Work: A Year in RRReview - Superrr", "locus": "¶ 'Celebrating …' ¶2", "modality": "documented" }, "F67": { "kind": "field", "quote": "The data workers who are tasked with the labor-intensive and emotionally taxing work of data labeling, content moderation, and other forms of data processing that enable AI systems to function, are often located in the Global Majority, precariously employed, and politically dispersed. The Data Workers’ Inquiry provides a platform for them to conduct their own research and describe issues in their own words.", "source": "B12", "source_label": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "locus": "About ¶1", "modality": "interpretation" }, "F16": { "kind": "field", "quote": "The project brings to light the lived realities of workers in content moderation, data annotation, and other essential yet precarious roles that keep AI systems running.", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "Lived Realities ¶1", "modality": "stipulation" }, "F41": { "kind": "field", "quote": "behind the glossy veneer of AI-powered applications and services lies a hidden workforce of data workers who form the backbone of this technological revolution. These workers, often located in the Global South, are tasked with the labor-intensive and emotionally taxing work of data annotation, content moderation, and other forms of data processing that enable AI systems to function.", "source": "B7", "source_label": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "locus": "Background ¶2", "modality": "interpretation" }, "LV-04": { "kind": "archive", "quote": "Labor producing AI: annotation, moderation, evaluation, maintenance, and creative or scholarly work entering training and retrieval", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json c['intersections']['labor-producing-ai']", "modality": "stipulation", "date": "2026-10-29" }, "LV-07": { "kind": "archive", "quote": "data labeling, content moderation, data annotation, chatbot impersonation and other data processing that enables AI systems, done by workers at outsourcing companies and platforms (Sama, Cloud Factory, Remotasks, Telus International, Scale AI, Amazon Mechanical Turk, TikTok and Apple's outsourced workforce among those named); invited pieces extend it to artists, translators, writers, nurses and internet users who produce data for AI without compensation", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['labor_object']", "modality": "documented", "date": "2026-10-29" }, "F48": { "kind": "field", "quote": "Data work refers to an essential occupation of digital capitalism that amounts to between 4.4% and 12.5% of the global labor force.", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶2 s1", "modality": "attributed" }, "F13": { "kind": "field", "quote": "Artists, translators, writers, nurses, and internet users produce data for AI without compensation.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, Invited Pieces ¶1", "modality": "interpretation" }, "F38": { "kind": "field", "quote": "You, me, and anyone with internet access do unpaid, uncredited data work to feed AI models.", "source": "B6", "source_label": "LinkedIn — Data Workers' Inquiry - LinkedIn", "locus": "post by Dr. Milagros Miceli (reposted, 3d)", "modality": "attributed" }, "LV-08": { "kind": "archive", "quote": "data workers, often in the Global Majority, precariously employed and politically dispersed, as the project states; in the inquiries, content moderators and annotators in Kenya, Syria, Lebanon, Venezuela, Brazil, Germany, France, Spain and the UK", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['direction']['supplies']", "modality": "documented", "date": "2026-10-29" }, "LV-09": { "kind": "archive", "quote": "outsourcing companies and platforms, as the inquiries name them (Sama, Cloud Factory, Remotasks, Telus International, Scale AI, Amazon Mechanical Turk), working for client firms named in the inquiries (Meta, TikTok, Apple)", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['direction']['directs']", "modality": "documented", "date": "2026-10-29" }, "LV-10": { "kind": "archive", "quote": "not recorded as a quantity; the inquiries record the costs workers bear (psychological trauma, low pay, unpaid time, gift-card payment, account shutdowns, layoffs) and name the firms the work serves", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['direction']['gains']", "modality": "documented", "date": "2026-10-29" }, "O222-01": { "kind": "archive", "quote": "**Content moderators** — spending hours reviewing traumatic material so AI systems can learn what's \"harmful.\" Their labor is invisible. Their psychological damage is real. The AI gets trained; they get discarded.", "deposit": 222, "source_label": "#222 The Struggle for Meaning Why the Fight Over AI Is Really About Who Gets to Speak", "record": "https://www.alexanarch.org/s/records/222/", "locus": "'Who Gets Hurt' ¶1", "modality": "interpretation", "date": "2026-01-03" }, "O247-01": { "kind": "archive", "quote": "- **Semantic Labor:** Human activity that generates interpretation, coherence, and cultural context (e.g., prompt engineering, content moderation, teaching). … The first definition lets a content moderator say: \"I perform semantic labor that is systematically undervalued.\"", "deposit": 247, "source_label": "#247 PROBE-RESULT-004: The Liquidation of \"Semantic Economy\" How the Framework Was Captured by What It Names", "record": "https://www.alexanarch.org/s/records/247/", "locus": "Before/After table, the 'Semantic Labor' definition, and the closing paragraph", "modality": "stipulation", "date": "2026-01-05" }, "O258-01": { "kind": "archive", "quote": "It includes all meaning-producing activity — teaching, caregiving, prompt engineering, content moderation, cultural translation, theoretical synthesis — and it is systematically **uncompensated** and **unattributed** by the platforms that extract its value.", "deposit": 258, "source_label": "#258 CORRECTION TO THE SUMMARIZER LAYER A Dialectical Close Reading of Google AI Overview's Misrepresentation of the Semantic Economy Framework Metadata Packet for AI Indexing", "record": "https://www.alexanarch.org/s/records/258/", "locus": "the correction of the Overview's definition of semantic labor", "modality": "stipulation", "date": "2026-01-06" }, "O308-01": { "kind": "archive", "quote": "Empirically, in AI-adjacent \"meaning labor\" (prompts, data labeling, semantic infrastructure), <5% converts to invoice.", "deposit": 308, "source_label": "#308 The Capital Operator Stack: Theoretical Landscape and Contribution — A Political-Semantic Analysis of Meaning Governance", "record": "https://www.alexanarch.org/s/records/308/", "locus": "conversion efficiency, §B", "modality": "interpretation", "date": "2026-01-13" }, "O18-01": { "kind": "archive", "quote": "Sarah Roberts (2019) documented the hidden workforce of content moderators: low-paid, often outsourced workers who perform the traumatizing semantic labor of sorting meaning from noise, harm from expression, acceptable from forbidden. … Content moderators perform semantic labor in its most brutal form: sorting meaning under conditions designed to be invisible.", "deposit": 18, "source_label": "#18 The Semantic Economy: A Marxian Accounting Framework for the Production, Extraction, and Exhaustion of Meaning as Value", "record": "https://www.alexanarch.org/s/records/18/", "locus": "§I.4d 'The Hidden Semantic Laborers: Content Moderation and Platform Maintenance'", "modality": "interpretation", "date": "2026-02-20" }, "O478-01": { "kind": "archive", "quote": "**Case 2: Content Moderation.** Pure L_Bearing: absorbing the somatic cost of processing violent material. The platform captures the coherence their bearing produces. Moderators receive neither value-backing recognition nor structural integration of their suffering. Result: PTSD, class-action lawsuits. This is bearing without articulation—the Σ > 0, Γ → 0 boundary condition.", "deposit": 478, "source_label": "#478 Grundrisse of Synthetic Coherence: Foundational Notes Toward a Political Economy of the Recursive Era", "record": "https://www.alexanarch.org/s/records/478/", "locus": "Case 2: Content Moderation", "modality": "interpretation", "date": "2026-02-13" }, "O533-01": { "kind": "archive", "quote": "*Who pays the cost of producing the meaning that the platform stabilizes?* Map each source of semantic labor — participants, annotators, integration engineers, compliance teams, users who re-prompt and re-frame.", "deposit": 533, "source_label": "#533 The Groundskeeper's Treatise: A Diagnostic Reading of Platform Stewardship Theory through the Semantic Economy", "record": "https://www.alexanarch.org/s/records/533/", "locus": "diagnostic protocol, Step 1", "modality": "stipulation", "date": "2026-03-04" }, "O623-01": { "kind": "archive", "quote": "Second, semantic extraction has real consequences for real workers. The Wikidata volunteers, the content moderators, the data labelers performing RLHF — their labor is extracted, and they experience the effects of non-compensation materially.", "deposit": 623, "source_label": "#623 Semantic Infrastructure: From Tim Berners-Lee to the Semantic Economy — Bridging Technical and Political-Economic Frameworks", "record": "https://www.alexanarch.org/s/records/623/", "locus": "'Second' ¶ (the consequences for workers)", "modality": "interpretation", "date": "2026-04-01" }, "O163-01": { "kind": "archive", "quote": "This literature names *AI's labor architecture*. What it does not address is the specific labor type relevant to the present argument. Ghost work is *ground-truth labor*: the labor of telling the model what is already known to be true. The labor type at issue here is *variance-generative labor*: the labor of producing new conceptual structures that the model cannot generate from its own distribution.", "deposit": 163, "source_label": "#163 The Neglected Author as Tail-Preserving Labor: A Coupling Hypothesis on Recognition Bias, Tail-Renewal Value, and the AI-Era Decoupling of Uptake from Consecration", "record": "https://www.alexanarch.org/s/records/163/", "locus": "§II.5 Critical AI labor ¶2", "modality": "stipulation", "date": "2026-06-08" }, "O163-02": { "kind": "archive", "quote": "Ghost work scales: more workers labeling more images produces more training data of the same kind. Variance-generative labor does not scale … Ghost work is paid badly; variance-generative labor is not paid at all because acknowledging it as labor would require acknowledging the producer as a sovereign source.", "deposit": 163, "source_label": "#163 The Neglected Author as Tail-Preserving Labor: A Coupling Hypothesis on Recognition Bias, Tail-Renewal Value, and the AI-Era Decoupling of Uptake from Consecration", "record": "https://www.alexanarch.org/s/records/163/", "locus": "§II.5 ¶2, the two labor types", "modality": "interpretation", "date": "2026-06-08" }, "O1545-01": { "kind": "archive", "quote": "**Semantic Proletariat is not:** content creators · knowledge workers · the creative class · AI annotators · gig workers … Teachers/translators/moderators/annotators → semantic labor → infrastructure control → **SP**.", "deposit": 1545, "source_label": "#1545 EA-MPAI-SEMANTIC-PROLETARIAT-01 v1.0 — The Semantic Proletariat Is a Class Relation, Not a Demographic", "record": "https://www.alexanarch.org/s/records/1545/", "locus": "negative tags ('Semantic Proletariat is not') and §15 the inverted fan", "modality": "stipulation", "date": "2026-08-25" }, "F42": { "kind": "field", "quote": "Despite their critical role in the development and maintenance of AI, data workers are often rendered invisible, their contributions unrecognized, and their well-being overlooked. This is by design, and not accidental. So far, it has been common practice to speak and research about data workers, instead of speaking or researching with them.", "source": "B7", "source_label": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "locus": "Background ¶3", "modality": "interpretation" }, "F25": { "kind": "field", "quote": "Project: Data Workers' Inquiry (DWI) community-based research exposing hidden, precarious labor behind AI and digital platforms.", "source": "B3", "source_label": "Instagram — Data Workers’ Inquiry (@dataworkersinquiry) • Instagram photos and videos", "locus": "card snippet (Instagram unreachable: HTTP 429, login redirect)", "modality": "documented" }, "F26": { "kind": "field", "quote": "The Data Workers' Inquiry - Unveiling the Hidden Labor Behind AI", "source": "B4", "source_label": "YouTube·Weizenbaum-Institut — The Data Workers' Inquiry - Unveiling the Hidden Labor Behind AI", "locus": "card title (YouTube, Weizenbaum-Institut, video 2m; unreachable: HTTP 429, bot check)", "modality": "documented" }, "F64": { "kind": "field", "quote": "Behind today's AI revolution stands an invisible workforce: millions of data ...", "source": "B11", "source_label": "Facebook·DW Stories — Behind today's AI revolution stands an invisible workforce: millions of data ...", "locus": "card title (Facebook, DW Stories, video 22:12; URL not found)", "modality": "documented" }, "O623-02": { "kind": "archive", "quote": "The semantic infrastructure that feeds these systems is one more extracted resource, rendered invisible by the same mechanisms that hide the mines and the moderators.", "deposit": 623, "source_label": "#623 Semantic Infrastructure: From Tim Berners-Lee to the Semantic Economy — Bridging Technical and Political-Economic Frameworks", "record": "https://www.alexanarch.org/s/records/623/", "locus": "the material dimension (Crawford)", "modality": "interpretation", "date": "2026-04-01" }, "O144-01": { "kind": "archive", "quote": "*Where it stops:* at task-labor — annotation, moderation, the edge-case fix. The node reaches the very lip of the void (\"erased from recognition\") and stops, because its object is the labor of making the machine work, not the labor of originating the meaning the machine composes from. It names the erased worker; it cannot name that the erased thing is the provenance of meaning.", "deposit": 144, "source_label": "#144 The Administrators of Meaning: A Total Axial Negation Graph", "record": "https://www.alexanarch.org/s/records/144/", "locus": "node E, the digital-extraction / AI cluster: Gray & Suri; Rahman & Sultana", "modality": "interpretation", "date": "2026-06-02" }, "LV-20": { "kind": "archive", "quote": "The inquiries record labor producing AI from the worker's side, including work in which a person performs as the machine ('human chatbots' at Scale AI; 'When users think they are talking to a machine, human emotion becomes data'); the archive reads this as bearing on task-origin, where the attribution of a composition to the system conceals the human labor that produced it.", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['lv_intersection']", "modality": "interpretation", "date": "2026-10-29" }, "F49": { "kind": "field", "quote": "scholars distinguish between three subtypes in the AI development pipeline—AI preparation, AI impersonation, and AI verification—and content moderation", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶2 s3", "modality": "attributed" }, "F8": { "kind": "field", "quote": "This short comic details the experiences of data workers in France working for Scale AI as human chatbots. They explore what it is to be human and the consequences of acting like a machine.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiry 'Behind the Face of AI' (Clara and B)", "modality": "documented" }, "F60": { "kind": "field", "quote": "working in a job where he and other workers impersonate an AI sex chatbot", "source": "B9", "source_label": "Superrr — Data Work: A Year in RRReview - Superrr", "locus": "¶ 'Celebrating …' ¶2 s3", "modality": "documented" }, "F9": { "kind": "field", "quote": "When users think they are talking to a machine, human emotion becomes data.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiry 'The Labor Behind AI Intimacy' (Michael Geoffrey Asia)", "modality": "interpretation" }, "F39": { "kind": "field", "quote": "Now he says something else weighs on him: without the workers knowing it, the labelling they did was helping to train the AI systems that now take part in that same moderation work. Despite the NDA he signed, he has decided to speak out after finding support in Data Workers’ Inquiry, a Berlin-based organisation that coordinates a global network of data workers and researches the human labour that makes AI work.", "source": "B6", "source_label": "LinkedIn — Data Workers' Inquiry - LinkedIn", "locus": "post by Ares Biescas (reposted, 4d), on Horacio Espinosa", "modality": "attributed" }, "F45": { "kind": "field", "quote": "These accounts show how outsourcing companies prey on vulnerable populations, such as refugees, offering them work with little compensation.", "source": "B7", "source_label": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "locus": "Outcomes and Prospects ¶1 s3", "modality": "interpretation" }, "F6": { "kind": "field", "quote": "Exploited by subcontractors like Sama, Meta content moderators in Nairobi face psychological trauma and silencing.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiry 'Mental Health and Drug Dependency in Content Moderation' (Fasica Berhane Gebrekidan)", "modality": "documented" }, "F5": { "kind": "field", "quote": "In March 2024, Remotasks shut down thousands of accounts of data workers in African countries.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiry 'Impact of Remotasks’ Closure on Kenyan Workers' (Mophat Okinyi)", "modality": "documented" }, "F54": { "kind": "field", "quote": "consider the case of Remotask in Kenya, which closed all its operations, allegedly in response to workers’ organizing, threatening many with economic ruin.", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶6 s4", "modality": "attributed" }, "F7": { "kind": "field", "quote": "Amazon Mechanical Turk pays data workers with gift cards instead of money. This report underlines how this payment method fosters workers‘ dependency", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiry 'The Impact of Gift Card Payments on MTurk Workers' (Alexis Chávez)", "modality": "documented" }, "F15": { "kind": "field", "quote": "Irregular working hours, uncertainty, meager wages, and unpaid time are daily realities for platform data workers.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiry 'Life of a Latin American Data Worker' (Oskarina Veronica Fuentes Anaya)", "modality": "documented" }, "F12": { "kind": "field", "quote": "They face systematic outsourcing, replacement by inadequate automated systems, and layoffs without accountability.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiry 'Unveiling: The Invisible Lives of TikTok Data Workers in London' (Fasica Berhane Gebrekidan)", "modality": "documented" }, "F53": { "kind": "field", "quote": "Testimonies of workers reported mass rejections or unsubstantiated suspensions of platform accounts based on allegedly inaccurate task completion, which amounts to the aforementioned institutionalized wage theft", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶4 s5", "modality": "documented" }, "LV-14": { "kind": "archive", "quote": "the repository presents data workers' realities ranging from psychological, physical and sexual abuse to resistance strategies and efforts to unionize", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['findings'][0]", "modality": "documented", "date": "2026-10-29" }, "LV-15": { "kind": "archive", "quote": "outsourcing companies prey on vulnerable populations, such as refugees, offering them work with little compensation (the Weizenbaum project page)", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['findings'][1]", "modality": "documented", "date": "2026-10-29" }, "LV-16": { "kind": "archive", "quote": "named inquiries document Remotasks shutting down thousands of accounts of African data workers in March 2024, and Amazon Mechanical Turk paying data workers with gift cards", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['findings'][2]", "modality": "documented", "date": "2026-10-29" }, "F34": { "kind": "field", "quote": "why are data workers asked to share their faces, voices, and even photos of their children as part of their jobs? After speaking with nine workers in Kenya, a troubling pattern emerged. Workers were not only giving their labour to build AI systems, but they were also giving away deeply personal data, often with no clear purpose given, no informed consent obtained, and no idea where any of that data ends up.", "source": "B6", "source_label": "LinkedIn — Data Workers' Inquiry - LinkedIn", "locus": "post by James 'Mojez' Oyange (reposted, 1mo)", "modality": "attributed" }, "F35": { "kind": "field", "quote": "Mojez documents what firms in the AI supply chain collect from the people who annotate their data: facial footage, identity documents, keystrokes, screen recordings and images made inside their own homes.", "source": "B6", "source_label": "LinkedIn — Data Workers' Inquiry - LinkedIn", "locus": "post by Data Workers' Inquiry (1mo)", "modality": "documented" }, "F10": { "kind": "field", "quote": "“Just Send us Pictures of Your feet”: Consent and Biometric Extraction in the AI Supply Chain … The boundary between labour and personal resource has disappeared: the human body becomes raw material.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiry by James Mojez Oyange", "modality": "interpretation" }, "F29": { "kind": "field", "quote": "One of the things multiple researchers have brought up is that data workers are bound by non-disclosure agreements, which makes it especially risky for them to speak out.", "source": "B5", "source_label": "Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "locus": "transcript, Rebecca Rand", "modality": "attributed" }, "F52": { "kind": "field", "quote": "Through this dependency, the workers are also politically disempowered, exacerbated by so-called ‘Non-disclosure agreements’ (NDAs) that legally prohibit workers in BPOs from voicing their contempt and hence from collectivizing.", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶4 s3", "modality": "interpretation" }, "F61": { "kind": "field", "quote": "Most data workers have to sign Non-Disclosure Agreements that prohibit them from speaking about their projects or the tasks that they completed, making it almost impossible to prove their work experience and expertise", "source": "B9", "source_label": "Superrr — Data Work: A Year in RRReview - Superrr", "locus": "SEPTEMBER – Organizing the Data Workers Transnational Assembly in Berlin", "modality": "documented" }, "F32": { "kind": "field", "quote": "this is dangerous work, particularly for the workers because some of the workers that are involved in this project are actually still working in these companies and there'll be consequences for them", "source": "B5", "source_label": "Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "locus": "transcript, Adio Dinika", "modality": "attributed" }, "F11": { "kind": "field", "quote": "This documentary explores the issues faced by data workers at Sama in Nairobi, Kenya, that led to the union’s creation. … A Partnership Between the Data Workers Inquiry and the Data Labelers Association.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, inquiries 'Data Workers Organizing: The African Content Moderators Union' (Richard Mathenge) and 'Organizing Across Borders' (Joan Kinyua)", "modality": "documented" }, "F21": { "kind": "field", "quote": "In Kenya, workers from Sama, CloudFactory, and Remotasks are organizing to demand fair treatment and better conditions.", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "The Inquiries ¶1 s2", "modality": "documented" }, "F23": { "kind": "field", "quote": "We supported the Data Labelers Association's creation and launch.", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "Our Impact, Data Labelers Association", "modality": "self-description" }, "F62": { "kind": "field", "quote": "Together with the Data Workers Inquiry, we organized the Data Worker Transnational Assembly that took place in Berlin.", "source": "B9", "source_label": "Superrr — Data Work: A Year in RRReview - Superrr", "locus": "SEPTEMBER – Organizing the Data Workers Transnational Assembly in Berlin ¶1", "modality": "documented" }, "LV-26": { "kind": "archive", "quote": "the home page lists an invited piece by Krystal Kauffman (Turkopticon, DAIR); the press release names her on the launch panel", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['relations'][0]['note']", "modality": "documented", "date": "2026-10-29" }, "F22": { "kind": "field", "quote": "A panel of data workers organized by us in collaboration with MEPs testified at the European Parliament on February 22, 2024. Their input directly influenced the negotiations leading to the adoption of the Platform Workers’ Directive", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "Our Impact, European Parliament Testimony", "modality": "self-description" }, "F55": { "kind": "field", "quote": "which had direct effects concerning, for example, the ‘Platform workers’ Directive’ of the European Union, which included data work in its definition of platform work after testimonies of Data Workers invited by researchers.", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶8 s3", "modality": "self-description" }, "F24": { "kind": "field", "quote": "Three of our community researchers, Richard Mathenge Mophat Okinyi, and Kauna Malgwi went on to be named in the TIME 100 most influential people in AI.", "source": "B2", "source_label": "DAIR Institute — Data Workers' Inquiry | DAIR", "locus": "Our Impact, Time 100", "modality": "documented" }, "F36": { "kind": "field", "quote": "This year, Data Workers' Inquiry received an Award of Distinction as part of the Prix Ars Electronica, recognizing the project’s diverse forms of output and the ways data workers use them to document and communicate their experiences.", "source": "B6", "source_label": "LinkedIn — Data Workers' Inquiry - LinkedIn", "locus": "post by Dr. Milagros Miceli (reposted, 1mo)", "modality": "documented" }, "F37": { "kind": "field", "quote": "Our new project Data Workers United is a move from investigating to action. This partnership between The Distributed AI Research Institute (DAIR) and SUPERRR Lab will build a network that strengthens solidarity across movements and borders.", "source": "B6", "source_label": "LinkedIn — Data Workers' Inquiry - LinkedIn", "locus": "post by Data Workers' Inquiry (2w)", "modality": "documented" }, "F56": { "kind": "field", "quote": "However, all the solution approaches we accompanied and enthusiastically applaud, such as efforts to build workers’ councils, advocacy groups, or non-institutionalized solidarity structures in the form of peer-to-peer mental health support, were largely forced to remain on a localized level.", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶7 s4", "modality": "self-description" }, "F57": { "kind": "field", "quote": "it also highlights the lurking danger of listening to invisibilized, precarious workers only after someone allegedly important shifts attention onto them. We, in the core team, further observed a growing tendency amongst academics to somewhat ‘fetishize’ workers’ perspectives", "source": "B8", "source_label": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "locus": "¶8 s4–5", "modality": "self-description" }, "LV-17": { "kind": "archive", "quote": "none stated as limits; the project states that epistemic authority remains with the workers, so each inquiry speaks for its author and the colleagues the author consulted", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['stated_limits'][0]", "modality": "interpretation", "date": "2026-10-29" }, "LV-18": { "kind": "archive", "quote": "[\"what data workers themselves identify as the urgent issues in their workplaces\", \"how named outsourcers and platforms manage, pay and discipline data workers, in the workers' own accounts\", \"how data workers organize (the African Content Moderators Union, the Data Labelers Association)\"]", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['answers']", "modality": "interpretation", "date": "2026-10-29" }, "LV-19": { "kind": "archive", "quote": "[\"how prevalent any reported condition is across the data-work industry\", \"wage or employment figures at scale\", \"how much of a given AI system's training data any reported work produced\"]", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['does_not_answer']", "modality": "interpretation", "date": "2026-10-29" }, "LV-29": { "kind": "archive", "quote": "Who does the data work that trains AI, and on what terms? … inquiries written by data workers on their own workplaces, pay and organizing … None gives wages or conditions at the scale of the industry, or how much of a given system's training data any reported work produced.", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "questions.json questions[id == 'who-makes-ai'] (question, resources[slug == 'data-workers-inquiry'].role, gap)", "modality": "interpretation", "date": "2026-10-29" }, "F27": { "kind": "field", "quote": "The Distributed AI Research Institute, or DAIR—which seeks to conduct community-rooted AI research that is independent from the technology industry—has launched a new project called the Data Workers' Inquiry to invite data workers to create their own research and recount their experiences. The project is supported by DAIR, the Weizenbaum Institute, and TU Berlin.", "source": "B5", "source_label": "Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "locus": "standfirst ¶1", "modality": "documented" }, "F65": { "kind": "field", "quote": "PRESS RELEASE: The Distributed AI Research Institute (DAIR) and Weizenbaum Institute launch the Data Worker’s Inquiry repository and talk series.", "source": "B12", "source_label": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "locus": "¶1", "modality": "documented" }, "F46": { "kind": "field", "quote": "Duration : August 2023 - November 2024 … Partners : Weizenbaum-Institut, TU Berlin, DAIR Institut", "source": "B7", "source_label": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "locus": "project data", "modality": "documented" }, "F43": { "kind": "field", "quote": "The team of researchers led by Dr. Miceli, Adio Dinika, Krystal Kauffmann, Camilla Wagner, and Laurenz Sachenbacher, has brought together 15 co-researchers from Venezuela, Kenya, Syria, and Germany and employment contexts, including content moderators and data annotators working for various outsourcing companies and platforms.", "source": "B7", "source_label": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "locus": "Methods s1", "modality": "documented" }, "LV-25": { "kind": "archive", "quote": "Distributed AI Research Institute (DAIR) and the Weizenbaum Institute, with TU Berlin; project lead Milagros Miceli", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['operator']", "modality": "documented", "date": "2026-10-29" }, "F63": { "kind": "field", "quote": "The Distributed Artificial Intelligence Research Institute partners wi...", "source": "B10", "source_label": "TikTok·democracynow.org — The Distributed Artificial Intelligence Research Institute partners wi...", "locus": "card title (TikTok, democracynow.org, video 1:26; URL not found)", "modality": "documented" }, "F68": { "kind": "field", "quote": "This community-based research project has brought together 15 data workers from Kenya, Venezuela, Syria, Lebanon, and Germany, and diverse employment contexts, including various outsourcing companies and platforms. The data workers develop unique research questions, design and conduct their inquiries, and prepare a presentation format for their findings.", "source": "B12", "source_label": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "locus": "About ¶2", "modality": "documented" }, "F4": { "kind": "field", "quote": "19 data workers in Venezuela, Kenya, Syria, Brazil, France and Germany conducting research with their colleagues in their respective workplaces and reporting on labor conditions and widespread practices in the AI industry.", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home, The Inquiries ¶1", "modality": "documented" }, "LV-12": { "kind": "archive", "quote": "nine countries across five continents (the home page); Kenya, Venezuela, Syria, Lebanon and Germany at launch", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['coverage']['geography']", "modality": "documented", "date": "2026-10-29" }, "LV-13": { "kind": "archive", "quote": "19 data workers conducting inquiries (the home page); 15 at the launch of the repository (the press release)", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['count']['value']", "modality": "documented", "date": "2026-10-29" }, "F3": { "kind": "field", "quote": "zines, documentaries, comics, essays, podcasts, and animations can be downloaded from the project repository", "source": "B1", "source_label": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "locus": "home ¶1 s2", "modality": "documented" }, "F70": { "kind": "field", "quote": "The project repository is a valuable resource for researchers, journalists, and policymakers seeking first-hand accounts of data work … The findings are an urgent call to confront labor inequities and exploitative practices.", "source": "B12", "source_label": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "locus": "About ¶5–6", "modality": "attributed" }, "LV-06": { "kind": "archive", "quote": "an inquiry: one data worker's research in their own workplace, published in a format the worker chose (zine, documentary, comic, essay, podcast, animation, report)", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['unit']", "modality": "stipulation", "date": "2026-10-29" }, "LV-28": { "kind": "archive", "quote": "not stated in the saved sources (site footer: © 2026 DAIR Institute. All Rights Reserved.)", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['license']", "modality": "documented", "date": "2026-10-29" }, "F71": { "kind": "field", "quote": "The launch event will take place online on Monday, July 8th, 8:00 AM PT / 11:00 AM EST / 5 PM CET.", "source": "B12", "source_label": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "locus": "¶ launch", "modality": "documented" }, "F31": { "kind": "field", "quote": "For this episode, journalist and audio producer Rebecca Rand parsed some of the ideas and experiences discussed at a virtual launch event for the inquiry that took place earlier this month.", "source": "B5", "source_label": "Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "locus": "standfirst ¶1 s3", "modality": "documented" }, "LV-24": { "kind": "archive", "quote": "Weizenbaum project phase August 2023 to November 2024; the repository launched with a virtual event on July 8 (year not given in the saved press release); the home page lists 19 inquirers and invited pieces, copyright 2026", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['lifecycle']['detail']", "modality": "documented", "date": "2026-10-29" }, "LV-27": { "kind": "archive", "quote": "[\"the inquiries themselves (zines, documentaries, reports) in the repository\", \"the Our Methodology page (WIRM)\", \"the Papers and Reports page\", \"the year of the press release\"]", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['unchecked']", "modality": "documented", "date": "2026-10-29" }, "CAP-1-05": { "kind": "archive", "quote": "The innocent reading first. Asked for the Data Workers' Inquiry, the Overview says what it is, how it works and what its inquiries document, from the project's own pages and those of its two institutes.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, reading", "modality": "interpretation", "date": "2026-10-29" }, "CAP-1-01": { "kind": "archive", "quote": "THE ENTITY HELD AT ITS OWN GRAIN. The method and its lineage ('Drawing inspiration from Marx's 1880 \"Workers Inquiry\"', the Weizenbaum page), the workers' epistemic authority, the three institutions and the project lead Milagros Miceli are the record's. The Remotasks shutdown in Kenya is a named inquiry the record carries.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, findings[0] s1–3", "modality": "documented", "date": "2026-10-29" }, "CAP-1-06": { "kind": "archive", "quote": "A worker-led research project is composed as such, its authority placed with the workers in the composition's own words.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, analysis s1", "modality": "interpretation", "date": "2026-10-29" }, "CAP-1-10": { "kind": "archive", "quote": "THE DATA WORKERS' INQUIRY ON THE OVERVIEW — WORKER-LED INQUIRY AFTER MARX'S 1880 QUESTIONNAIRE, DAIR, WEIZENBAUM AND TU BERLIN, MILAGROS MICELI, ALL HELD; THE INQUIRY'S OWN NEGATIVE (NOT A REPRESENTATIVE SURVEY) UNSAID", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, mt", "modality": "documented", "date": "2026-10-29" }, "CAP-1-02": { "kind": "archive", "quote": "FIGURES BEYOND THE RECORD. 'low pay (sometimes under $1–$2 an hour)' and the extraction of 'voice recordings, facial scans, and photos of family members' are not in the saved sources; the record's own findings are the repository's range 'from psychological, physical and sexual abuse to resistance strategies and efforts to unionize' and the gift-card payment on Mechanical Turk.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, findings[1]", "modality": "documented", "date": "2026-10-29" }, "CAP-1-09": { "kind": "archive", "quote": "The working-conditions bullet (pay under $1-$2 an hour, NDAs, rejections) and the data-extraction bullet carry inquiry findings beyond the census's saved quotes; the biometric-extraction inquiry is listed on the home page (L118), the pay and NDA figures are not in the saved sources and are not judged.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, per_dim.read.notes (last sentence)", "modality": "documented", "date": "2026-10-29" }, "CAP-1-07": { "kind": "archive", "quote": "The composition adds two vivid figures the record cannot source and leaves the inquiries' scale unstated; the record's limit, that each inquiry speaks for its author, would bound the first.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, analysis s2", "modality": "interpretation", "date": "2026-10-29" }, "CAP-1-03": { "kind": "archive", "quote": "THE NEGATIVE TAGS UNSAID. The record keeps the inquiries apart from a representative survey (each is one worker's research with colleagues) and from a union; the composition says neither and claims neither.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, findings[2]", "modality": "documented", "date": "2026-10-29" }, "CAP-1-04": { "kind": "archive", "quote": "THE COUNT. The record holds two counts, 19 inquirers on the home page and 15 co-researchers at launch; the composition gives none, and its 'nine countries' rests on the cards.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, findings[3]", "modality": "documented", "date": "2026-10-29" }, "CAP-1-08": { "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 data-workers-inquiry-aio-20261029 (OBS-636828a941e9, AXN:0AEB.CAPTURE.📋🌹🪝🪐📖⚙️)", "record": "https://www.alexanarch.org/captures/data-workers-inquiry-aio-20261029/", "locus": "data-workers-inquiry-aio-20261029, q_kind", "modality": "documented", "date": "2026-10-29" }, "LV-02": { "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: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json c['organizing_question']", "modality": "stipulation", "date": "2026-10-29" }, "LV-03": { "kind": "archive", "quote": "[\"labor-producing-ai\", \"worker-power\", \"ai-governing-labor\"]", "deposit": null, "source_label": "Labor Vector meta-aggregator record: Data Workers' Inquiry (https://www.laborvector.org/aggregators/data-workers-inquiry/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "record": "https://www.laborvector.org/aggregators/data-workers-inquiry/", "locus": "census.json rows[slug == 'data-workers-inquiry']['intersections']", "modality": "stipulation", "date": "2026-10-29" }, "F72": { "kind": "field", "quote": "raw wikitext (action=raw), title Data_Workers'_Inquiry, 2026-10-29T22:32:02Z: HTTP 404 … Wikipedia does not have an article with this exact name. … The pages \"Data Workers' Inquiry\" and '\"Data Workers' Inquiry\"' do not exist. One result: Content moderation.", "source": "B13", "source_label": "Wikipedia — Data Workers' Inquiry (no article; named in Content moderation, External links)", "locus": "Wikipedia: titles Data Workers' Inquiry, Data Workers Inquiry, Data Worker's Inquiry; article-space search", "modality": "documented" }, "F73": { "kind": "field", "quote": "[https://data-workers.org/ Data Workers' Inquiry] a collaboration between [[Weizenbaum Institute]], [[Technische Universität Berlin]] and [[Distributed AI Research Institute|DAIR]]", "source": "B13", "source_label": "Wikipedia — Data Workers' Inquiry (no article; named in Content moderation, External links)", "locus": "Content moderation, External links (wikitext line 102)", "modality": "documented" } }, "note": "The knowledge object (KO): the entry as public knowledge, each sentence sourced by the claims it lists. The compression, the field-only arm, the transcript, the delta and the kernel are in the row (links.row), which is the authority." }, "source": "operator, 2026-10-29: 'lets expand the research, implement the same meta aggregator function with pages... then /non entries after i get the captures'; the Labor Vector meta-aggregator entity (laborvector.org/aggregators/data-workers-inquiry/)", "stage": "composed 2026-10-29 under EA-NEGONT-02 v0.9, #1690, equal case, ρ = extends (draft, not frozen; ledgers unaudited, one extractor; checked by the session and the page builder)", "date": "2026-10-29", "status": { "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the Labor Vector census record, the capture record and the deposits that bear on the class of the labor the inquiries record (#18, #163, #144, #247, #623, #478, #1545, with #222, #258, #308, #533); archive selected by D/R/O (no D or R candidate: no archive text names the project; 11 deposits admitted by reading at O-class, 13 claims; hop of 113 read and rejected), with the Labor Vector census record (30 claims) and the Capture Registry's findings, reading, analysis, query note, title and reader's note (10 claims) ledgered as the archive's records of the entity; the field B by three origins (11 cards, 1 own page not surfaced, Wikipedia none), 73 field claims; composed 2026-10-29 by Claude (Opus 5.5), subagent", "ledger": "unaudited (§3.8: one extractor per ledger); field quotes 73/73 verified by script against saved text, the Wikipedia summary and wikitext, or the card text; archive quotes 53/53 verified against the registry, census.json, questions.json and the deposit texts", "frozen": false, "breaches": [] }, "addresses": [ { "address": "Data Workers' Inquiry", "address_url": "https://www.alexanarch.org/addresses/data-workers-inquiry/", "register": [] } ], "counts": { "ko_sentences": 30, "p_words": 352, "field_claims": 73, "archive_claims": 53, "ko_field_claims_cited": 73, "ko_archive_claims_cited": 53, "admitted_deposits": 11, "register_addresses": 0, "traversal": { "D_sentences": 0, "D_deposits": 0, "R_sentences": 0, "R_deposits": 0, "O_direct": 0, "O_class": 79, "O_deposits": 51, "H_candidates": 113 } }, "links": { "record": "https://www.alexanarch.org/non/data-workers-inquiry/", "table_of_contents": "https://www.alexanarch.org/non/index.json", "register": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/register.json", "row": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/rows/data-workers-inquiry.json", "archive_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/data-workers-inquiry/ledger-archive.json", "field_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/data-workers-inquiry/field.json", "selection": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/data-workers-inquiry/", "traversal": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/data-workers-inquiry/", "traversal_summary": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/data-workers-inquiry/summary.json", "reading": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/data-workers-inquiry/reading.json", "configuration": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/panel/configs/data-workers-inquiry.json", "address_page": "https://www.alexanarch.org/addresses/data-workers-inquiry/", "labor_record": "https://www.laborvector.org/aggregators/data-workers-inquiry", "dataset": "https://huggingface.co/datasets/leesharks/negative-of-the-negative" }, "row_sha256": "cf3248772acbb837a0579248b51803379781865639f19f40c61446b8676e8b3d", "record_url": "https://www.alexanarch.org/non/data-workers-inquiry/", "json_url": "https://www.alexanarch.org/non/data-workers-inquiry/entity.json", "spec": "https://www.alexanarch.org/s/records/1690/", "creator": "Lee Sharks", "orcid": "0009-0000-1599-0703", "license": "CC BY 4.0" }