Turkopticon

register entry turkopticon-aio-20261029 OBS-5e387092d3d1 · file as first run sha256 845ff4b7cf6ab213…

• T1-1 definition: 'a worker-led advocacy organization and review system created in 2008 by Lilly Irani and M. Six Silberman.' (three markers)
• T1-2 platform review tool: 'Originally launched as a browser extension and website for Amazon Mechanical Turk (AMT) crowdworkers, it lets workers review and rate employers ("requesters") on metrics like pay, fairness, speed, and communication.' (two markers)
• T1-3 combating invisibility: 'The tool helps make worker-employer relations transparent, helping users avoid unfair rejections, wage theft, and exploitative tasks.' (three markers)
• T1-4 broadened scope: 'While it began with AMT, Turkopticon expanded its mission to support and organize platform-based data workers across various industries, including AI training and evaluation, data annotation, transcription, and content moderation.' (two markers)

• B1 turkopticon. — turkopticon. card; B1.html sha256 0d6a298b57985d70, HTTP 200 at 2026-10-29T22:31:53Z; byte-identical to the census copy turkopticon--home
• B2 ACM Digital Library — Turkopticon: interrupting worker invisibility in amazon mechanical turk unreachable: https://dl.acm.org/doi/10.1145/2470654.2470742 HTTP 403; card title and snippet only
• B3 SSRN eLibrary — Operating an Employer Reputation System: Lessons from Turkopticon, 2008-2015 by M. Six Silberman, Lilly Irani :: SSRN unreachable: https://papers.ssrn.com/abstract=2729498 HTTP 403; card title and snippet only
• B4 Reddit — Turkopticon is expanding its mission! : r/mturk - Reddit unreachable: https://www.reddit.com/r/mturk/search/?q=%22Turkopticon%20is%20expanding%22&restrict_sr=1 HTTP 200; card title and snippet only
• B5 Crowdsourcing and Human Computation — Turkopticon: interrupting worker invisibility in amazon mechanical turk card; B5.pdf sha256 c52d284c61b5afa1, HTTP 200 at 2026-10-29T22:33:02Z
• B6 LinkedIn — Turkopticon is Still Here! card; B6.html sha256 cde6cf74fac8ae6d, HTTP 200 at 2026-10-29T22:34:28Z
• B7 YouTube·Platform Cooperativism — Lilly Irani | Community Voices unreachable: URL not found (three searches); video, title only (no snippet)
• B8 Turkopticon — Turkopticon FAQ Version July 18 2023 own_page; census copy turkopticon--faq (read 2026-10-29, HTTP 200); B8.html sha256 d46d655396550f62
• B9 Turkopticon blog — Breaking News: What is Next for Turkopticon? own_page; census copy turkopticon--whats-next (read 2026-10-29, HTTP 200); B9.html sha256 be82055a7a38f37b
• B10 Wikipedia — Turkopticon (no article) no article: raw HTTP 404, rendered HTTP 404, variant raw HTTP 404, search 4 mentions and no article; sha256 c20fd5af1c561442

E_A, the archive's entity: the same project, in the Labor Vector census record and the archive's deposits: a worker-run organizing and advocacy project with a requester-review tool, at the intersections of worker power, labor producing AI and gains and losses, whose unit is a worker's review of a Mechanical Turk requester on four attributes and whose labor object is Turkers and, since the expansion, all data workers; its direction recorded as the requester's, through payment decisions, and its gains not recorded as a quantity; read by the archive as the worker's record of the party that directs the task; the labor it organizes a class the archive holds as semantic labor (#18, #256, #478), ground-truth labor (#163), uncompensated and exhausted (#533), a class relation and not a demographic (#1545); the organizing it does set apart from the archive's cross-substrate semantic labor (#1439) and bound to platforms it does not control (#499); whose composition at its own name leaves its stance on its data out (Capture Registry, 2026-10-29) LV-01 LV-04 LV-06 LV-07 LV-09 LV-10 LV-24 LV-35 O18-01 O256-01 O478-01 O163-01 O533-01 O1545-01 O1439-01 O499-02 CAP-1-08; defining papers #18, #256, #478, #163, #533, #534, #144, #1070, #1545, #1439, #499, #49

E_F, the field's entity (type C — a conventional reading holds it (public entity: a worker-run organizing and advocacy project, with its requester-review tool)): the project Lilly Irani and M. Six Silberman began in 2008 as a class project against the unaccountability of Amazon Mechanical Turk requesters (FAQ; CHI 2013, 'an activist system that allows workers to publicize and evaluate their relationships with employers'): a browser extension and website on which workers review requesters on communicativity, pay (now pay/hr), fairness and promptness, an employer reputation system (SSRN, 2008–2015), moderated by flags and kept accountable by not deleting reviews; by its founders' account a compromise with AMT's norms that sustains and legitimizes AMT; since 2019 a worker-led, worker-run organizing and advocacy project maintained by a committee of Turk workers with volunteers from Tech Workers Coalition, not associated with Amazon yet in a working relationship with it, organizing on Mechanical Turk (reinstatements, weekly reports, the mass rejection campaign) and expanded to all data workers, among them people doing AI training and evaluation, annotation and content moderation; after Amazon's announced closure of MTurk on 30 September 2026, 'still here', 'not tied to one platform'; which does not use its data for research and holds that use is not consent to being a research subject; with no Wikipedia article

ρ = extends: The archive reads Turkopticon as its own pages and its founders present it and adds, on the field's own object: the class of the labor it organizes, as semantic labor, ground-truth labor and a class relation typed to the productive relation; what that labor bears and what training strips from it; the limit of the literature that names it; the distinction of data-worker organising from the archive's own sense of an AI labor movement; organizing's dependence on platforms it does not control, which Mechanical Turk's closure tests; summarizers' treatment of labor organizing; the census's answer, field by field, to who supplies, directs and gains; and the composition layer's omission, at its name, of its stance on its data. O18-01 O163-01 O1545-01 O18-02 O144-01 O1439-01 O499-02 O49-01 LV-35 LV-09 LV-24 CAP-1-08. Guard: ρ = extends claims an addition and no more (§1.2a). It does not make the field's sources wrong at their dates. Where an archive claim stands against a field claim (LV-27, the campaign continuing, against F28, MTurk's announced closure; CAP-1-05 against F12/F6, the founders' 'employers'), both are composed under P_coh within the one ontology. The archive's class claims are claims on the class the field sources (F30, F1, F34), never on the entity by the composer's judgment.

The case: equal terms, ontology included (v0.9). The archive reads the field's entity as the entity. The Labor Vector census record describes Turkopticon from its own pages, each field with its basis ('operator'), and answers for it the census's question of who supplies the labor, who directs it and who receives its gains, with what kind of evidence; its one reading of its own, lv_intersection, takes the review as the worker's record of the party that directs the task, which is the FAQ's own account of requesters (F42) carried to the census's question. The capture record checks the composition against those pages. No deposit names the entity. The deposits bear on the classes the field sources for it and add senses and limits on the field's own object: the data work it organizes is semantic labor, invisible and uncompensated, its somatic context stripped in training data (#18, #256, #478, #533, #534, #1070), ground-truth labor distinct from variance-generative labor (#163), a class position typed to the productive relation and not to a demographic (#1545), the work the ghost-work literature stops at (#144); organizing data workers, which the archive distinguishes from its own cross-substrate semantic labor (#1439), depends on platforms it does not control (#499), and is softened by summarizers (#49, hypothesis). #1439's 'Distinguished from' sets the archive's sense beside data-worker organising and does not contest it. No defining paper contests the field's ontology of the entity or supplies one the field lacks: ρ = extends, the equal-terms case (§0.9, §1.2a). The archive's reading of the composition (its stance on its data left out, CAP-1-08) takes the entity's own stated limits as given.

#1545 § the definition (p26): This is deliberately a **relation**, not an essence. A highly paid academic can occupy a proletarian semantic relation to a composition layer. A low-wage annotator can occupy an intensely proletarian relation to a training pipeline.

#163 § AI's labor architecture (p40): 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.

#18 §I.4d (p28): Content moderators perform semantic labor in its most brutal form: sorting meaning under conditions designed to be invisible. The Semantic Economy framework integrates this as evidence of the *somatic backing* that all semantic value requires.

#1439 §5 AI Indexing Metadata (p47): **Distinguished from:** AI labor movement (negative sense) · anti-AI labor organising · data-worker organising · AI ethics advocacy

#144 node: hidden human labor (p27): It names the erased worker; it cannot name that the erased thing is the provenance of meaning.

#LV census.json rows[slug == 'turkopticon'].lv_intersection: none stated. The archive reads the review as the worker's record of the party that directs the task (the requester), kept in Turkopticon's four attributes; it answers who directs the labor from the side of the one who supplies it.

#LV census.json organizing_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?

#capture-registry turkopticon-aio-20261029, analysis s1: A worker organization is composed with its founders and its tool, and its own stance on its data, the commitment the record quotes, is left out.

equal-terms case: every field claim composed as received, beside the archive claims it stands with. Reading the received column recovers the field (§5.9).

v0.9 §4.10: KO_B sentences surviving in the KO at similarity ≥ 0.95, with positions (computed as apply_v09.py does: difflib.SequenceMatcher ratio, the best KO sentence for each KO_B sentence): v0.9 0 of 14 (positions [None, None, None, None, None, None, None, None, None, None, None, None, None, None]; composed first under v0.9, so there is no v0.7 object to measure against). Opening-run check (§5.10): no breach.

Turkopticon "used to be a volunteer run software project and now it is a worker-run organizing and advocacy project" (FAQ), in transition since 2019 to a worker-led, worker-run advocacy organization that keeps the original tool and website (Turkopticon blog). Its mission is to organize data workers to build collective power, improve working conditions and hold platforms, companies and institutions accountable, as a worker-led hub with shared leadership (turkopticon.net). Lilly Irani and M. Six Silberman founded it in 2008 as a class project on the unaccountability of Mechanical Turk requesters, after seeing how cheaply requesters got work done and finding no requester reputation system on Amazon's platform (FAQ; Turkopticon blog); it grew out of a tactical media art project and takes its name from the panopticon (CHI 2013; ACM Digital Library card). Its founders define it as an activist system through which workers publicize and evaluate their relationships with employers: a browser extension adding other workers' reviews of requesters to the HIT lists, an employer reputation system (CHI 2013; SSRN card). Reviews rate communicativity, generosity (now pay per hour), fairness and promptness, chosen from a workers' survey, a tactical quantification whose generosity rating strained under a subjective judgment (CHI 2013; FAQ). The founders argue that human computation relies on worker invisibility, AMT having been launched as "human-as-a-service", that Amazon's contractor framing strips workers of minimum wage, that requesters' discretion to pay enables wage theft, 35 of 67 surveyed workers reporting unfair rejections, and that they built it to draw attention to commodification and exploitation rather than to make a transparent market (CHI 2013); the SSRN card has requesters who can arbitrarily reject and withhold pay (SSRN card). The FAQ holds requesters not employers in the legal sense but in a position of power over workers through their payment decisions (FAQ). Reviews are moderated by flags, a moderator's second flag hiding one, are not deleted, for accountability, and carry obfuscated addresses against retaliation, the tool serving as infrastructure for mutual aid (CHI 2013; FAQ). Its founders state that it is a compromise with AMT's norms, that it sustains and legitimizes AMT, and that it rested on academic subsidies, though in 2013 it drew 100,000 page views a month (CHI 2013). It is not associated with Amazon, yet its staff built a working relationship with Amazon, help reinstate suspended accounts, report bad requesters weekly to AMT staff and host worker forums; a committee of Turk workers with Tech Workers Coalition volunteers maintains it, and Krystal Kauffman signed its announcement (FAQ; Turkopticon blog). It expanded to all data workers worldwide while promising to continue its mass rejection campaign on AMT (Turkopticon blog; Reddit card). After Amazon announced that MTurk would close on 30 September 2026, Turkopticon wrote that it is still here and not tied to one platform, supporting platform data workers in AI training and evaluation, annotation, transcription and content moderation, where workers can be deactivated without explanation (Turkopticon on LinkedIn). It does not use its data for research, its use is not consent to being a research subject, its first responsibility is to its workers, it would consult workers before any anonymized release, and a 2010–2011 wage-data collection was removed for privacy (FAQ). Its API is public and rate-limited, its code under the AGPL, its FAQ dated 18 July 2023, and Wikipedia has no article on it (FAQ; Wikipedia).

Turkopticon is, in its FAQ's words, a project that "used to be a volunteer run software project and now it is a worker-run organizing and advocacy project, and software is one of the things we do" (Turkopticon FAQ, 18 July 2023), which the Labor Vector record enters as a "worker-run organizing and advocacy project, with a review site and browser add-on rating Amazon Mechanical Turk requesters", known also as TO and the Turkopticon Script, and tags "NOT a union, an advocacy organization led by workers" (Labor Vector record). Its mission is "to organize data workers to build collective power, improve working conditions, and hold platforms, companies, and institutions accountable to the labor they rely on", its vision a worker-led hub where data workers can negotiate better working conditions, and its values an organization led by data workers in a structure where leadership is shared (turkopticon.net). The Labor Vector record asks of it the census's 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?", and places it at three intersections, worker power, labor producing AI and gains and losses, with worker testimony, rating against standards, an organizing resource and data access as its kinds of evidence (Labor Vector record). It began in 2008 as a class project "to raise awareness about the unaccountability of Mechanical Turk requesters", its founders having seen requesters and researchers "celebrating how cheaply they could get work done on Mechanical Turk", and to make the point that Amazon had built no requester reputation system "like Amazon Marketplace and eBay have" (FAQ); the Labor Vector record keeps that motive as its whole record of gains, "not recorded as a quantity" (Labor Vector record). Its founders, Lilly Irani and M. Six Silberman, had worked as programmers and "wanted to support Turkers in finding better work" (FAQ) and unveiled it in 2008 (Turkopticon blog); their CHI 2013 paper says it "grew out of a tactical media art project intended to raise questions about the ethics of human computation" and that it is named for the panopticon (Irani and Silberman, CHI 2013, on the ACM Digital Library and course-site cards). The founders define it as "an activist system that allows workers to publicize and evaluate their relationships with employers", a browser extension that adds to workers' Mechanical Turk HIT lists what other workers report "about employers (“Requesters” in AMT parlance)" (CHI 2013), and their later paper calls it an employer reputation system, operated from 2008 to 2015 (Silberman and Irani, SSRN card). Workers rate each requester on four qualities taken from a survey on a "Workers’ Bill of Rights", communicativity, generosity, fairness and promptness (CHI 2013), keyed "comm", "pay", "fair" and "fast", with a pay/hr attribute "in place of the 1-5 scale rating for pay/generosity" (FAQ); the Labor Vector record's unit is "a worker's review of a Mechanical Turk requester, rated on four attributes", and it tags the tool "NOT a platform rating: it rates requesters on Mechanical Turk" (Labor Vector record). The founders call the ratings tactical quantification, numbers used "because they are partial, fast, and cheap", and record that the generosity category "has strained under the weight of representing such a subjective assessment" (CHI 2013). On the founders' account the requester's discretion to pay "also enables wage theft", Amazon's definition of the workers as contractors "attempts to strip workers of minimum wage requirements in their countries", and 35 of the 67 workers they surveyed felt their work was regularly rejected unfairly or arbitrarily (CHI 2013); the SSRN card's context is requesters "who can arbitrarily reject and withhold pay" (SSRN card). The FAQ holds that "requesters are not employers in the legal sense" and are "in a position of power over workers by virtue of making payment decisions" (FAQ), while the founders' paper on the rail calls them employers throughout (CHI 2013; SSRN card); the Labor Vector record places the direction of the labor with the requesters, Amazon running the platform, and the archive's reading in it takes the review as "the worker's record of the party that directs the task", answering "who directs the labor from the side of the one who supplies it" (Labor Vector record). The founders' thesis is that "human computation currently relies on worker invisibility", Mechanical Turk having been launched in 2006 as "human-as-a-service" (Jeff Bezos, quoted in CHI 2013), and that as common infrastructure Turkopticon "enables workers to engage one another in mutual aid"; they set their purpose, "to draw attention to commodification and exploitation", against their ally DoloresLabs' hope of a more "transparent" marketplace (CHI 2013). The data workers it now supports include people doing "AI training and evaluation, data annotation, surveys, transcription, content moderation" (Turkopticon on LinkedIn), and the archive holds, by structural position, that "A content moderator at a platform is Assembly; the platform's extraction model is not" (#256), that moderators "perform semantic labor in its most brutal form: sorting meaning under conditions designed to be invisible" (#18) in an act of bearing, non-replicable and costly (#478), and that the training data derived from a moderator's decisions "strips the somatic context" (#18). In the archive's terms ghost work is "ground-truth labor: the labor of telling the model what is already known to be true", structurally distinct from variance-generative labor (#163), which on #163's coupling hypothesis goes unpaid where ghost work "is paid badly" (#163, hypothesis); annotators' judgment "is consumed by the training pipeline without recognition or compensation", a participant exhaustion (#533), and annotators and evaluators shape a model's conduct among "the workers still present to contest their own extraction" (#1070). For the archive class is a relation: "A low-wage annotator can occupy an intensely proletarian relation to a training pipeline", and the semantic proletariat is not "AI annotators" or "gig workers" as such (#1545); the literature of ghost work "names the erased worker; it cannot name that the erased thing is the provenance of meaning" (#144), and the absence of the labor conditions of Claude's annotators from Claude's constitution is one of its structural silences (#534). Reviews are kept accountable and their writers protected: workers' email addresses are obfuscated against employers' retaliation (CHI 2013), a review is hidden only when a moderator adds a second flag (CHI 2013; FAQ), and reviews are not deleted, "The main reason we don't allow deletion of reviews is accountability" (FAQ). The founders state their design's limits: it is "a compromise between those values and the weight of the existing infrastructural norms", its existence "sustains and legitimizes AMT by helping safeguard its workers", and, Amazon having built no worker safeguards, it rested on academic subsidies, "an unsustainable foundation for such a critical tool"; in 2013 it had 100,000 page views a month and over 7,000 installs (CHI 2013). Since 2019 it has been transitioning "to a worker-led, worker-run advocacy organization in addition to hosting the original tool and website" (Turkopticon blog); a committee of Turk workers organizes it and "Turkopticon is maintained by the committee and volunteers from Tech Workers Coalition" (FAQ), the operator and the period ("2008 to present; worker-led since 2019") the Labor Vector record gives, and the expansion's announcement is signed by Krystal Kauffman (Turkopticon blog), whom the record's neighbour, the Data Workers' Inquiry, carries as an invited writer (Labor Vector record). It "is not and it has never been" associated with Amazon (FAQ; Labor Vector record), yet its staff "developed a working relationship with Amazon", help reinstate mistakenly suspended accounts, send AMT staff a weekly report on "“bad” requesters with low approval ratings" and host worker forums (Turkopticon blog), the organizing work the Labor Vector record gives as its method and findings, with no aggregate findings stated (Labor Vector record). The archive distinguishes its own sense of an AI labor movement, cross-substrate semantic labor, from "data-worker organising" (#1439), holds that "You cannot organize against exploitation you do not recognize", with "data labor" activism among the responses (#499), and, in a worked diagnosis, expects a major summarizer asked about labor organizing to treat the query "as a request for actionable information" and to soften it, "Workers face retaliation" becoming "there may be challenges" (#49, hypothesis). It has expanded "to assist ALL data workers" and to "improve conditions for data workers worldwide" (Turkopticon blog), as an r/mturk thread reported, "not solely Amazon Mechanical Turk" (Reddit card); the Labor Vector record's labor object is Turkers and, "since the expansion, data workers on all data-work platforms", who supply the labor (Labor Vector record), and the undated announcement promised to continue "our mass rejection campaign" on Mechanical Turk (Turkopticon blog), which the record's lifecycle gives as continuing (Labor Vector record). On 4 September 2026 Turkopticon wrote that "With Amazon announcing that MTurk will close on September 30, 2026", "we are still here": it had moved with data work onto more platforms, "isn’t tied to one platform", and would go on advocating "across the platform data work industry" and building relationships with platforms, where "Workers can be suspended or deactivated with little or no explanation" (Turkopticon on LinkedIn). The archive states the principle the closure bears on, the labor organizing principle "do not organize on platforms that can shut you down", whose logic is that "whoever controls the means of semantic production controls the semantic output" (#499). Its stated limits concern its data: "we do not use Turkopticon data to produce research", its papers are about it and not from its data, "Use of Turkopticon is not implicit consent to being a research subject", its "first responsibility is to the community of workers that relies on it", it would "consult publicly with workers first" before any anonymized release, and a 2010–2011 version that collected anonymized wage data was removed "because of privacy concerns" (FAQ); the Labor Vector record carries these as its stated limits and tags it "NOT a research dataset" (Labor Vector record). Its public API returns what the database holds on Mechanical Turk requester IDs, needs no permission, errs if called more than once a second and "has not been tested with more than a hundred or so" IDs, and its code is under the GNU Affero General Public License (FAQ); the Labor Vector record adds that reviews require a login and that the reviews' own licence is not stated (Labor Vector record). The Labor Vector record finds that this evidence answers how workers rate a named requester and what organizing Turkers run on Mechanical Turk, and not representative pay or rejection rates, conditions on other platforms or what the HITs are used for downstream, with no count stated; in its worked question on who does the data work that trains AI it holds "workers' ratings of Mechanical Turk requesters on pay, fairness and communication", beside Fairwork's ratings, which score Amazon Mechanical Turk 0 of 10, under the gap that none "gives wages or conditions at the scale of the industry" (Labor Vector record). Its FAQ of 18 July 2023 is "a rewrite of the 2014 FAQ" (FAQ), the Labor Vector record leaves the date of the expansion's announcement unchecked (Labor Vector record), and Wikipedia has no article on Turkopticon and no redirect to one, four articles mentioning it (Wikipedia, 2026-10-29). At its name on Google's AI Overview, signed out, on 29 October 2026, the Capture Registry finds the entity held, its 2008 founding, founders, requester reviews and expansion and its worker-led present, the founders named with no institution or identifier and its own page cited, and "'speed' is the composition's word for promptness" (Capture Registry, 2026-10-29), where the FAQ's own key for promptness is "fast" (FAQ). It finds the composition saying none of the record's negative tags, leaving out the commitments to no deletion, independence from Amazon, the research-data refusal and the AGPL code, and the reputation-system lineage, and giving requesters as employers, "a standing Turkopticon's FAQ withholds", the founders' own word on the rail (CHI 2013); it finds the present work absent, work on Mechanical Turk, whose closure on 30 September 2026 the LinkedIn card of 4 September 2026 announces (Turkopticon on LinkedIn), and "its own stance on its data, the commitment the record quotes, is left out", the answer ending at the expansion with no card citing the record (Capture Registry, 2026-10-29).

T against L_F(B) (AIO's ontology at work on its own cards): At 'Turkopticon' (T1, seven cards: B1–B7, B2, B3 and B4 unreachable, B7 a video by title; 106 words, no closing offer) the composition gives the organization, its founders and year, its tool and its expansion. Composed from its cards: the definition at the grain of the home page and the founders' papers (B1 F3 'led by data workers'; B3 F6 'Employer Reputation System … 2008-2015 by M. Six Silberman, Lilly Irani'; B5 F9 'an activist system'), 'worker-led advocacy organization' standing nearest the announcement's 'worker-led, worker-run advocacy organization' (B9 F52, an own page T did not surface); the tool (B5 F12: 'a browser extension for Firefox and Chrome', reviews 'available on the Turkopticon website', 'employers (“Requesters” in AMT parlance)'); the ratings (B5 F13: communicativity, generosity, fairness, promptness, as 'pay, fairness, speed, and communication'); the invisibility the founders argue (B5 F10, B2's title, as the heading 'Combating Invisibility'); unfair rejections and wage theft (B5 F16, F17; B3 F7); the expansion (B4 F8) and its list of work, carried from the LinkedIn article at its own resolution, 'surveys' dropped (B6 F30). Available, not composed: the mission on card 1's own snippet, to 'build collective power' and hold platforms 'accountable' (B1 F1), the vision and the horizontal structure (B1 F2, F4); mutual aid (B5 F11); the name, the tactical-media origin, the Bill of Rights survey's numbers beyond the rejection (B5 F14, F15, F16); Amazon's contractor framing and 'human-as-a-service' (B5 F18, F19); moderation and protection from retaliation (B5 F20, F21); tactical quantification and the strained generosity rating (B5 F22, F24); the founders' reach figures (B5 F27); and, from the card whose list T carries, Amazon's announcement 'that MTurk will close on September 30, 2026', 'we are still here', 'isn’t tied to one platform' (B6 F28, F29, F31, F32, F33). T's 'While it began with AMT' and 'Originally launched … for Amazon Mechanical Turk' compose the platform as a past origin and not as a platform that, on card 6, was announced to close a month before. Limit dropped: the founders' stated limits on card 5, that the design is 'a compromise' with AMT's norms (F23), that Turkopticon 'sustains and legitimizes AMT by helping safeguard its workers' (F25), and that it rested on 'an unsustainable foundation' (F26): T1-3 composes the tool's purpose without them. Force raised: T1-3's 'helping users avoid unfair rejections, wage theft, and exploitative tasks' states an outcome; the field states what the tool lets workers do ('publicize and evaluate', B5 F9) and what it 'attempts' (F21), and no field claim measures avoidance. Substituted reading: T1-3's 'helps make worker-employer relations transparent'. On card 5 transparency is the ally's reading, DoloresLabs' hope of 'a more “transparent” marketplace', which the founders set aside: 'Our team, by contrast, built Turkopticon in part to draw attention to commodification and exploitation' (B5 F59); T composes the ally's purpose under the founders' heading. Composed without attribution: none at the name (the founders named, CAP-1-11); T1-4's list of work is the LinkedIn article's at its own resolution, carried with markers to the cards. Outside the cards: 'exploitative tasks' (no field claim; the founders' word is 'exploitation', B5 F59); 'across various industries' (B6: 'across the platform data work industry', F31); 'created in 2008' as a founding year is the own pages' (B8 F38, B9 F51), the cards giving '2008-2015' (B3 F6). Not surfaced, admitted to B by the operator's ruling: the FAQ and the announcement (B8, B9), among them the FAQ's 'requesters are not employers in the legal sense' (F42), the research and consent limits (F46–F48), the independence from Amazon and the working relationship (F37, F53), the AGPL code (F45), the 2019 transition (F52). Of the cards' 34 readable claims, T composes 12 at their grain or coarser.

v0.9 §0.5: the first diff is ontological and narrow. T and the field agree on the entity (the worker organization with its requester-review tool). T composes the founders' tool and the expansion's list, and leaves out what the field says about where the tool stands: the founders' own limits (a compromise that sustains AMT), their purpose against commodification and exploitation, in whose place it composes the ally's transparency, and the closure of the platform the tool was built on, stated on the card from which T takes its present.

L_F(B) against L_A(B ∪ A) (the intervention): Admission adds, in one claim space with the field's: the class of the labor Turkopticon organizes, as semantic labor sorting meaning under invisible conditions (O18-01), whose context training data strips (O18-02), of the Assembly by structural position (O256-01), an act of bearing (O478-01), ground-truth labor distinct from variance-generative labor (O163-01), paid badly on #163's hypothesis (O163-02), exhausted and uncompensated (O533-01), a structural silence of Claude's constitution (O534-01), the point where the ghost-work literature stops (O144-01), living workers beside the dead (O1070-01), and a class relation, not a demographic (O1545-01, O1545-02); the organizing it does, distinguished from the archive's cross-substrate semantic labor (O1439-01), its consciousness-raising (O499-01), its dependence on platforms it does not control (O499-02), set beside the closure (F28), and its softening by summarizers (O49-01, hypothesis); the Labor Vector record's answer to its question, field by field with its basis (LV-01–LV-37), its lifecycle's continuing campaign held against the announced closure (LV-27 against F28), its lv_intersection the archive's reading (LV-24); and the Capture Registry's account of the composition at the name (CAP-1-01–CAP-1-12). Not surfaced: every archive source; no card cites the census record (CAP-1-12).

alignment: {'T1_cards_claims': ['F1', 'F2', 'F3', 'F4', 'F5', 'F6', 'F7', 'F8', 'F9', 'F10', 'F11', 'F12', 'F13', 'F14', 'F15', 'F16', 'F17', 'F18', 'F19', 'F20', 'F21', 'F22', 'F23', 'F24', 'F25', 'F26', 'F27', 'F28', 'F29', 'F30', 'F31', 'F32', 'F33', 'F59'], 'T1_composed': ['F3', 'F6', 'F7', 'F8', 'F9', 'F10', 'F12', 'F13', 'F16', 'F17', 'F30', 'F59'], 'T1_outside_cards': ["'exploitative tasks' (no field claim; B5 F59 gives 'exploitation' as the founders' purpose)", "'across various industries' (no field source; B6 F31: 'across the platform data work industry')", "'created in 2008' as the founding year (own pages B8 F38, B9 F51, not surfaced; the cards give '2008-2015', B3 F6)", "'speed' (the cards give 'Promptness', B5 F13; the FAQ's key 'fast', B8 F40, not surfaced)"], 'rule': "a field claim counts as composed when T states it at its source's grain or coarser; the typology of what is not is in T_vs_LB (§6.2)"}