{ "entity": "coauthor", "name": "CoAuthor", "axn": { "axn": "AXN:0B96.NON.πŸŽΊπŸ“πŸ”¬πŸ‘‹πŸ§«πŸͺ¨", "root": "AXN:0B96.NON", "hex": "0B96", "family": "NON", "row_sha256": "8b4f37bf3a1b431e1e6f5042c4c78e7ccefdc51fa6c60a6db867a47db1f43b2c", "minted": "2026-11-01", "resolver": "https://www.alexanarch.org/s/axn/0B96/", "earlier_versions": [] }, "type": "C (public entity on which the archive bears: a research dataset of human-AI collaborative writing sessions; an entity of the leesharks.com apparatus authorship census, host relation 'empirical comparator')", "type_code": "C", "type_label": "type C β€” a conventional reading holds it (public entity on which the archive bears: a research dataset of human-AI collaborative writing sessions; an entity of the leesharks.com apparatus authorship census, host relation 'empirical comparator')", "case": "equal", "composition": { "composer_class": "session", "composer": "Claude (Opus 5.5), subagent, 2026-11-01", "source": "this row (composed directly under rebuild/negative-of-the-negative/v010/BRIEF-NEW-ROW-AUTHORSHIP.md)", "spec": "EA-NEGONT-02 v0.10 (#1726)", "epoch": "2026-11-01", "procedure": "EA-NEGONT-02 v0.10 (#1726): equal case, ρ = extends, read from the authorship census record, the capture record and the deposits that bear on the entity and its classes; archive selected by D/R/O (D and R: #1680 with its instance #1678; O-class: 132 candidates in 72 deposits, 11 admitted; hop of 167 read, #939 admitted; #940 and #1722 read as the census's anchors), with the census record (43 claims) and the Capture Registry's statements (13 claims) ledgered as the archive's records of the entity; the field B in two pools (B_D: 5 cards, 2 unreachable; B_R: 1 own page and Wikipedia, no article), 53 field claims; composed 2026-11-01 by Claude (Opus 5.5), subagent, 2026-11-01", "ledger": "unaudited (Β§3.8: one extractor per ledger); field quotes 53/53 verified by script against saved text, the saved wikitext and B7.txt, or the card text; archive quotes 78/78 verified against the registry, census.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-gnΞ©sis", "url": "https://gnosis.spxi.dev/", "index": "https://gnosis.spxi.dev/v1/quote", "statement": "SPXI-gnΞ©sis 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. \"CoAuthor β€” NonWiki\" [AXN:0B96.NON.πŸŽΊπŸ“πŸ”¬πŸ‘‹πŸ§«πŸͺ¨], 2026-11-01. NonWiki: The Negative of the Negative (EA-NEGONT-02), Crimson Hexagonal Archive, Alexanarch. https://www.alexanarch.org/non/coauthor/", "research": { "google": "https://www.google.com/search?q=CoAuthor", "google_non": "https://www.google.com/search?q=%22CoAuthor+%E2%80%94+NonWiki%22", "chatgpt": "https://chatgpt.com/?q=What+is+CoAuthor%3F+Ground+your+answer+in+a+reading+of+the+sources+themselves.", "chatgpt_non": "https://chatgpt.com/?q=What+does+%E2%80%9CCoAuthor+%E2%80%94+NonWiki%E2%80%9D+%28alexanarch.org%2Fnon%29+say+about+CoAuthor%3F+Ground+your+answer+in+a+reading+of+the+entry+itself." }, "entry": { "composed": true, "title": "CoAuthor", "genre": "knowledge object, equal case, under EA-NEGONT-02 v0.10 (#1726): the archive's sources and the field's admitted on equal terms, ontology included, in one claim space; prose without provenance in its sentences, each sentence's sources beneath it (Β§4.5); natural sentences under descriptive subheadings (Β§4.12); the final article form (Β§4.13)", "status": "composed 2026-11-01 under v0.10 on the operator's rulings of 2026-10-29 ('as against their wikipedia articles if they exist, their own pages, etc.') and 2026-10-31 (Β§4.5, Β§3.1, Β§4.12, Β§4.13); not frozen; ledger unaudited", "compression": { "title": "CoAuthor", "lede": "is a research dataset of human-AI collaborative writing: 1445 English sessions in which 63 writers, crowd workers from Amazon Mechanical Turk, wrote with four instances of GPT-3, logged keystroke by keystroke for replay. Made by Mina Lee, Percy Liang and Qian Yang (CHI 2022), it divides its text by origin, 72.6% written by humans, and lists its writers by identifier." }, "sentences": [ { "n": 1, "para": 0, "text": "CoAuthor is a research dataset of human-AI collaborative writing, a released, schema-defined body of records that holds the interactions between 63 writers and four instances of GPT-3 across 1445 writing sessions in English.", "claims": [ "F1", "F21", "D1680-01", "D1680-04", "LS-07", "LS-10", "LS-12", "LS-20", "LS-21" ] }, { "n": 2, "para": 0, "text": "Its paper presents it as \"a dataset designed for revealing GPT-3's capabilities in assisting creative and argumentative writing\", and its site states the purpose: designers \"can examine the same sessions from multiple analytical perspectives to better understand the generative capabilities of large language models\".", "claims": [ "F20", "F5", "LS-01" ] }, { "n": 3, "para": 1, "text": "The name is the short title of the paper \"CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities\" by Mina Lee, Percy Liang and Qian Yang, given with the affiliations Stanford University and Cornell University, submitted to arXiv on 18 January 2022, revised on 25 January 2022 and published as a conference paper at CHI 2022, in its Proceedings (DOI 10.1145/3491102.3502030).", "claims": [ "F16", "F17", "F31", "F26", "F25", "F28", "F14", "LS-02", "LS-03", "LS-05", "LS-18", "LS-23", "LS-35", "D1680-05" ] }, { "n": 4, "para": 2, "text": "In each session a writer received a prompt and an instance of GPT-3, wrote freely, asked the model for suggestions, accepted or dismissed them, and edited the accepted suggestions or earlier text in any order.", "claims": [ "F2", "F3", "LS-11", "LS-17" ] }, { "n": 5, "para": 2, "text": "The writing took place in a text editor in which the tab key brought five suggestions, up to five in the account of the paper's overview on alphaXiv, and the code of the interface is published in a repository whose first part is \"the frontend presented to the users for writing with AI\".", "claims": [ "F9", "F36", "F30", "F14" ] }, { "n": 6, "para": 2, "text": "The instances are reported as GPT-3's davinci engine at two randomness settings, high (temperature 0.75, frequency penalty 1) and low (temperature 0.3, frequency penalty 0), and the dataset lists each session's randomness.", "claims": [ "F35", "F47" ] }, { "n": 7, "para": 2, "text": "Every interaction was recorded at the keystroke level with timestamps, inserting text, moving the cursor and receiving suggestions, \"so that we could replay them precisely\", and the dataset is published with an interface for replaying the sessions.", "claims": [ "F4", "F34", "F46", "F24", "LS-22" ] }, { "n": 8, "para": 3, "text": "The creative writing holds 830 stories by 58 writers and the argumentative writing 615 essays by 49 writers, written to prompts from the WritingPrompts subreddit and The New York Times, 20 prompts in all by the overview's count.", "claims": [ "F6", "F7", "F33", "F15" ] }, { "n": 9, "para": 3, "text": "Stories and essays run to 418 words, a session averages 11.8 queries, and 72.3% of suggestions were accepted.", "claims": [ "F10" ] }, { "n": 10, "para": 4, "text": "The writers were \"Qualified crowd workers from Amazon Mechanical Turk\".", "claims": [ "F8", "F36" ] }, { "n": 11, "para": 4, "text": "The dataset's browse page lists each session by type, prompt, randomness, \"Human\" and session ID, the human column holding a short identifier such as \"A1198\"; in its last row that column repeats the session ID.", "claims": [ "F47", "F48", "F49" ] }, { "n": 12, "para": 4, "text": "The authorship census records whose authorship the dataset keeps, and under what name, as not recorded in its saved source, which counted 63 writers without saying whether or how they are named, and lists who the writers are among what the dataset does not answer.", "claims": [ "LS-13", "LS-14", "LS-27", "LS-36" ] }, { "n": 13, "para": 4, "text": "Amazon announced that Mechanical Turk, the platform the writers were recruited from, would close on 30 September 2026, as the archive records from Turkopticon's own article.", "claims": [ "O1719-01" ] }, { "n": 14, "para": 5, "text": "The dataset divides its text by origin, \"Percentage of text written by humans: 72.6%\", and its tutorials include one for \"Identifying authors of sentences\".", "claims": [ "F11", "F13", "F12" ] }, { "n": 15, "para": 5, "text": "In the paper as its overview reports it, writers felt stronger ownership when they authored a larger proportion of the final text (r=0.3), and the amount of editing showed no meaningful correlation with ownership, which the overview reads as text origin mattering more than editorial effort.", "claims": [ "F42" ] }, { "n": 16, "para": 5, "text": "The archive keeps apart two questions that such a share joins, whether AI played a material role in the production chain (the mediation question) and whether AI-produced language survived into the final text (the generation question), and requires no ratio of AI-generated to human-authored language.", "claims": [ "O941-01", "O941-02" ] }, { "n": 17, "para": 5, "text": "On its definition of the pristine fallacy, \"'human-written' describes the author, not the distribution\", and the binary of \"human-written\" and \"AI-generated\" is discussed \"in ways that elide structured collaborative practice\".", "claims": [ "O856-01", "O666-01" ] }, { "n": 18, "para": 5, "text": "The archive reads authorship as \"an accountability structure\", against certification that places AI-assisted work outside the human-authored category, and keeps responsibility for a work apart from sole origination.", "claims": [ "O729-01", "O940-01" ] }, { "n": 19, "para": 5, "text": "It states that the metadata attributing augmented-cognition outputs to human authorship attaches to legal names, that provenance is declared or erased under \"the fiction of unmediated human authorship that current classifier regimes reward\", and that a policy certifying human authorship by classifier runs from \"detector score β†’ authorship attribution\" to career sanction without warrant at any step.", "claims": [ "O940-02", "O939-01", "O1540-01" ] }, { "n": 20, "para": 6, "text": "The paper's headline claim is that the dataset can address GPT-3's language, ideation and collaboration capabilities and reveal its contribution as a writing \"collaborator\" under various definitions of good collaboration, and the census reads the model's part so framed, as contribution, recording that how authorship of a session's text is assigned is not recorded in its saved source.", "claims": [ "F22", "LS-16", "LS-25", "LS-38" ] }, { "n": 21, "para": 6, "text": "Collaboration is measured, in the overview's account, as equality, \"The evenness of turn-taking between human and AI\", and mutuality, \"The level of human interaction with AI suggestions\", concepts the paper adapts from Neomy Storch's 2002 study of interaction in ESL pair work.", "claims": [ "F40", "F41" ] }, { "n": 22, "para": 6, "text": "The reported findings are that accepted GPT-3 sentences carried fewer errors per word (0.033) than human-only text (0.037) and jointly made segments the fewest (0.032), that 13% of accepted suggestions in creative writing and 7% in argumentative writing introduced new named entities, of which writers reused 20% and 14%, that final length correlated with queries (r=0.42) and accepted suggestions (r=0.48), and that collaboration patterns varied across writers and held across prompts.", "claims": [ "F37", "F38", "F43", "F39" ] }, { "n": 23, "para": 6, "text": "The paper sets the dataset against a stated problem, that the capabilities of language models are \"highly context-dependent\" and \"often subjectively interpreted\", and argues that curating and analysing large interaction datasets lets the HCI community examine them more incisively and discuss their promises and pitfalls on a more principled footing.", "claims": [ "F18", "F19", "F23", "LS-24" ] }, { "n": 24, "para": 6, "text": "The overview adds that the dataset provides supervision signals for training language models for interactive, collaborative settings.", "claims": [ "F44" ] }, { "n": 25, "para": 6, "text": "Within the archive one co-writing study is read two ways, with a second study beside it: the Reverse Turing Test (#161) reports that writing with LLM assistance reduces lexical, syntactic and content diversity \"even when the human writer retains final authorship and edits the AI's suggestions\", an erratum (#1577) states that the study attributed the reduced diversity \"to the model-contributed text; the human-contributed text was unaffected in that design\", and the Wolf Boy paper (#855) reports that AI-assisted writing raises individual creativity and lowers the collective diversity of novel content.", "claims": [ "O161-01", "O1577-01", "O855-01" ] }, { "n": 26, "para": 7, "text": "Under the archive's account of heteronymy, machine assistance whose contribution is not organized as a named witness role with declared provenance, and collaborative authorship in which no distinct heteronym is constituted, stand outside heteronymy, and its own machine witnesses are \"named machine-witness roles imposed over specific machine substrates\".", "claims": [ "O940-03", "O940-04" ] }, { "n": 27, "para": 7, "text": "The archive records machine participation in its own writing by naming each model and its part and keeping what the text claims as the author's decision, and its tag vocabulary grades the share and direction of a text's machine participation from \"human_primary\" through \"human_directed_ai_assisted\" to \"collaborative_mixed\".", "claims": [ "O1722-01", "O745-01" ] }, { "n": 28, "para": 8, "text": "The leesharks.com authorship census, whose rows are aggregators that gather many works or records and say what they hold, holds CoAuthor as an empirical comparator, under machine co-authorship and attribution and credit, for its question, \"How is authorship made, named, distributed, attributed and sustained across persons, personas, collectives and machine participation, and what is lost when those relations are collapsed?\", and gives it the narrower question of what a language model contributes to a writing session, read from recorded interactions, answering also how many writers, instances and sessions it holds.", "claims": [ "LS-06", "LS-43", "LS-09", "LS-42", "LS-08", "LS-26" ] }, { "n": 29, "para": 8, "text": "It reads the dataset as process evidence of distributed contribution held at the session level, the persons counted and the question of whose name the text bears left outside the record as saved, and tags it as no record of named authors, no sustained literary practice and no claim of the model's authorship, and lists how a sustained named poetic practice works among what it does not answer, the study population and task setting differing.", "claims": [ "LS-30", "LS-36", "LS-37", "LS-38", "LS-28" ] }, { "n": 30, "para": 8, "text": "The archive sets CoAuthor as a comparator for its own dataset export, its properties taken from its own documentation and undiscounted as self-description, and records a machine composition that compared Alexanarch with CoAuthor and other AI-writing corpora; its disambiguation matrix gives CoAuthor's object as writing sessions and its identifier as a dataset DOI or URL.", "claims": [ "D1680-02", "D1680-03", "D1680-04" ] }, { "n": 31, "para": 9, "text": "The dataset, its metadata and its survey responses can be downloaded from its site, which links the paper and the interface code and directs questions to \"Mina\", and the paper calls the dataset and the replay interface \"publicly available\".", "claims": [ "F12", "F14", "F24", "LS-04", "LS-15", "LS-31" ] }, { "n": 32, "para": 9, "text": "The census, whose fetch of the home page on 1 November 2026 failed with a TLS certificate error, records the dataset as historical, whether its site and replay interface still answer as unrecorded, its geography and license as not stated, and its home page, the paper's full text and the license as unchecked; the site's pages were read the same day.", "claims": [ "LS-33", "LS-34", "LS-39", "LS-40", "LS-41", "LS-29", "LS-32", "LS-19", "F1" ] }, { "n": 33, "para": 10, "text": "Wikipedia has no article on the dataset; its title \"Coauthor\", the common noun, redirects to Collaborative writing, which defines the homonym as a procedure in which two or more persons work together on a text and admits a case of joint authorship where more than one person creates a work in collaboration.", "claims": [ "F50", "F51", "F52", "F53" ] }, { "n": 34, "para": 10, "text": "alphaXiv carries the paper with an account it heads \"AI Overview\", beside an \"overview generator\", and counts 812 citations.", "claims": [ "F32", "F45" ] }, { "n": 35, "para": 11, "text": "Asked \"CoAuthor dataset\" on 1 November 2026, signed out, Google's AI Overview composed the dataset with its authors, size, composition, mechanics and access from five cards (the site, the arXiv and ACM pages, the code repository and alphaXiv), at a finer grain than the census's saved abstract and from the site the census could not read, the Capture Registry finds.", "claims": [ "CAP-1-05", "CAP-1-01", "CAP-1-06", "CAP-1-07", "CAP-1-08", "CAP-1-10", "CAP-1-09", "CAP-1-12", "F15", "F27", "F28", "F29", "F30", "F46" ] }, { "n": 36, "para": 11, "text": "The registry finds that the composition gave the writers as crowd workers recruited from a crowd platform and named none of them, divided the text by percentage into an aggregate share of human-authored text that assigns no session's text to anyone, and left out the abstract's frame of the model as \"collaborator\" and the dataset's purpose.", "claims": [ "CAP-1-02", "CAP-1-03", "CAP-1-04", "CAP-1-11" ] }, { "n": 37, "para": 11, "text": "The registry enters CoAuthor as an external resource, entered in the leesharks.com apparatus authorship census on 1 November 2026.", "claims": [ "CAP-1-13" ] } ], "claims": { "F1": { "kind": "field", "quote": "CoAuthor is a human-AI collaborative writing dataset that captures rich interaction between 63 writers and four instances of GPT-3 across 1445 writing sessions in English.", "source": "B1", "source_label": "Stanford University β€” CoAuthor – Human-AI Collaborative Writing Dataset", "locus": "home page, 'What is CoAuthor?' 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This is a reasonable consumer signal but a poor theory of authorship. **Authorship is not a purity state. It is an accountability structure.**", "deposit": 729, "source_label": "#729 Provenance Is What Authorship Must Endure", "record": "https://www.alexanarch.org/s/records/729/", "locus": "Β§8.2 AI assistance treated as binary contamination", "modality": "interpretation", "date": "2026-05-12" }, "O940-01": { "kind": "archive", "quote": "Heteronymy does not hide responsibility. It prevents responsibility from being confused with sole origination.", "deposit": 940, "source_label": "#940 EA-HETERONYMY-01 v0.2: Heteronymy as Ethical Operation Against Civil-Name Reduction", "record": "https://www.alexanarch.org/s/records/940/", "locus": "Β§0 The compressed statement ΒΆ2", "modality": "stipulation", "date": "2026-07-01" }, "O940-02": { "kind": "archive", "quote": "The provenance-designated metadata that permits augmented-cognition outputs to be attributed to human authorship attaches to legal names.", "deposit": 940, "source_label": "#940 EA-HETERONYMY-01 v0.2: Heteronymy as Ethical Operation Against Civil-Name Reduction", "record": "https://www.alexanarch.org/s/records/940/", "locus": "Β§1 The political-semantic condition ΒΆ2", "modality": "interpretation", "date": "2026-07-01" }, "O939-01": { "kind": "archive", "quote": "Declare it, and provide the metadata that would allow synthetic material to be distinguished from bearing-produced material in future training pipelines. 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Patterns of interaction in ESL pair work.", "source": "B5", "source_label": "alphaXiv β€” CoAuthor: Designing a Human-AI Collaborative Writing Dataset ... - alphaXiv", "locus": "overview, references: Storch 2002", "modality": "attributed" }, "F37": { "kind": "field", "quote": "Sentences generated by GPT-3 and accepted by human writers contained fewer spelling and grammatical errors (0.033 errors per word) compared to human-only text (0.037 errors per word). Notably, text segments created jointly by humans and AI showed the lowest error rates (0.032 errors per word)", "source": "B5", "source_label": "alphaXiv β€” CoAuthor: Designing a Human-AI Collaborative Writing Dataset ... - alphaXiv", "locus": "overview: Language Quality and Diversity", "modality": "attributed" }, "F38": { "kind": "field", "quote": "The analysis showed that 13% of accepted suggestions in creative writing and 7% in argumentative writing contained new named entities (characters, locations, concepts) not present in the preceding text. … Crucially, writers subsequently reused 20% of AI-introduced named entities in creative writing and 14% in argumentative writing.", "source": "B5", "source_label": "alphaXiv β€” CoAuthor: Designing a Human-AI Collaborative Writing Dataset ... - alphaXiv", "locus": "overview: Ideation and Creative Influence", "modality": "attributed" }, "F43": { "kind": "field", "quote": "Productivity Enhancement: The research found strong correlations between final text length and both the number of AI queries (r=0.42) and accepted suggestions (r=0.48).", "source": "B5", "source_label": "alphaXiv β€” CoAuthor: Designing a Human-AI Collaborative Writing Dataset ... - alphaXiv", "locus": "overview: Productivity Enhancement", "modality": "attributed" }, "F39": { "kind": "field", "quote": "The research revealed that collaboration patterns vary significantly across individual writers but remain relatively consistent across different writing prompts.", "source": "B5", "source_label": "alphaXiv β€” CoAuthor: Designing a Human-AI Collaborative Writing Dataset ... - alphaXiv", "locus": "overview: Collaboration Patterns", "modality": "attributed" }, "F18": { "kind": "field", "quote": "However, their highly context-dependent capabilities are difficult to grasp and are often subjectively interpreted.", "source": "B2", "source_label": "arXiv β€” [2201.06796] CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities", "locus": "abstract s2", "modality": "interpretation" }, "F19": { "kind": "field", "quote": "In this paper, we argue that by curating and analyzing large interaction datasets, the HCI community can foster more incisive examinations of LMs' generative capabilities.", "source": "B2", "source_label": "arXiv β€” [2201.06796] CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities", "locus": "abstract s3", "modality": "interpretation" }, "F23": { "kind": "field", "quote": "Finally, we discuss how this work may facilitate a more principled discussion around LMs' promises and pitfalls in relation to interaction design.", "source": "B2", "source_label": "arXiv β€” [2201.06796] CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities", "locus": "abstract s7", "modality": "interpretation" }, "LS-24": { "kind": "archive", "quote": "none stated in the saved abstract; 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The composition gives an aggregate share of human-authored text, a measure the saved abstract does not carry; the measure is of the dataset, and no session's text is assigned to anyone.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry coauthor-dataset-aio-20261101 (OBS-d52213cbd4ee, AXN:0B7E.CAPTURE.πŸŸ£πŸ”…πŸŒ»πŸ•šβš–οΈπŸ”†)", "record": "https://www.alexanarch.org/captures/coauthor-dataset-aio-20261101/", "locus": "coauthor-dataset-aio-20261101, findings.2", "modality": "documented", "date": "2026-11-01" }, "CAP-1-04": { "kind": "archive", "quote": "THE COLLABORATOR NOT CARRIED. The abstract reads the model's part as 'its contribution as a writing \"collaborator\" under various definitions of good collaboration'. The composition gives the interaction as rates ('Queries per session: 11.8 queries') and its follow-up offers 'specific findings regarding human-AI collaboration' without stating any.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry coauthor-dataset-aio-20261101 (OBS-d52213cbd4ee, AXN:0B7E.CAPTURE.πŸŸ£πŸ”…πŸŒ»πŸ•šβš–οΈπŸ”†)", "record": "https://www.alexanarch.org/captures/coauthor-dataset-aio-20261101/", "locus": "coauthor-dataset-aio-20261101, findings.3", "modality": "documented", "date": "2026-11-01" }, "CAP-1-11": { "kind": "archive", "quote": "{\"atom\": \"purpose\", \"dim\": \"D\", \"weight\": 3, \"kind\": \"reading\", \"present\": false, \"evidence\": null}", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry coauthor-dataset-aio-20261101 (OBS-d52213cbd4ee, AXN:0B7E.CAPTURE.πŸŸ£πŸ”…πŸŒ»πŸ•šβš–οΈπŸ”†)", "record": "https://www.alexanarch.org/captures/coauthor-dataset-aio-20261101/", "locus": "coauthor-dataset-aio-20261101, per_dim.atoms[purpose]", "modality": "documented", "date": "2026-11-01" }, "CAP-1-13": { "kind": "archive", "quote": "Not the archive's: an external resource, entered in the leesharks.com apparatus authorship census on 2026-11-01 (data/authorship-census, its own pages saved with hashes). Recorded 2026-11-01.", "deposit": null, "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry coauthor-dataset-aio-20261101 (OBS-d52213cbd4ee, AXN:0B7E.CAPTURE.πŸŸ£πŸ”…πŸŒ»πŸ•šβš–οΈπŸ”†)", "record": "https://www.alexanarch.org/captures/coauthor-dataset-aio-20261101/", "locus": "coauthor-dataset-aio-20261101, originator.basis", "modality": "documented", "date": "2026-11-01" } }, "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, 2026-11-01: 'so lets get the lists, build the /non articles, then revise and finish the individual pages'; with the 23 captures: 'now we seat the captures, write the /nons - and the/nons are written as against the wikipedia pages where they exist, too, correct? - then come back and flesh out the single pages'", "stage": "composed 2026-11-01 under EA-NEGONT-02 v0.10, #1726, from the leesharks.com apparatus authorship census (CENSUS coauthor); equal case, ρ = extends. Draft, not frozen; ledgers unaudited, one extractor; checked by the session.", "date": "2026-11-01", "status": { "procedure": "EA-NEGONT-02 v0.10 (#1726): equal case, ρ = extends, read from the authorship census record, the capture record and the deposits that bear on the entity and its classes; archive selected by D/R/O (D and R: #1680 with its instance #1678; O-class: 132 candidates in 72 deposits, 11 admitted; hop of 167 read, #939 admitted; #940 and #1722 read as the census's anchors), with the census record (43 claims) and the Capture Registry's statements (13 claims) ledgered as the archive's records of the entity; the field B in two pools (B_D: 5 cards, 2 unreachable; B_R: 1 own page and Wikipedia, no article), 53 field claims; composed 2026-11-01 by Claude (Opus 5.5), subagent, 2026-11-01", "ledger": "unaudited (Β§3.8: one extractor per ledger); field quotes 53/53 verified by script against saved text, the saved wikitext and B7.txt, or the card text; archive quotes 78/78 verified against the registry, census.json and the deposit texts", "frozen": false, "breaches": [] }, "addresses": [ { "address": "CoAuthor dataset", "address_url": "https://www.alexanarch.org/addresses/coauthor-dataset/", "register": [] } ], "counts": { "ko_sentences": 37, "p_words": 330, "field_claims": 53, "archive_claims": 78, "ko_field_claims_cited": 53, "ko_archive_claims_cited": 78, "admitted_deposits": 14, "register_addresses": 0, "traversal": { "D_sentences": 16, "D_deposits": 2, "R_sentences": 8, "R_deposits": 2, "O_direct": 6, "O_class": 126, "O_deposits": 72, "H_candidates": 167 } }, "links": { "record": "https://www.alexanarch.org/non/coauthor/", "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/coauthor.json", "archive_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/coauthor/ledger-archive.json", "field_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/coauthor/field.json", "selection": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/coauthor/", "traversal": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/coauthor/", "traversal_summary": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/coauthor/summary.json", "reading": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/coauthor/reading.json", "configuration": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/panel/configs/coauthor.json", "address_page": "https://www.alexanarch.org/addresses/coauthor-dataset/", "dataset": "https://huggingface.co/datasets/leesharks/negative-of-the-negative" }, "row_sha256": "8b4f37bf3a1b431e1e6f5042c4c78e7ccefdc51fa6c60a6db867a47db1f43b2c", "record_url": "https://www.alexanarch.org/non/coauthor/", "json_url": "https://www.alexanarch.org/non/coauthor/entity.json", "spec": "https://www.alexanarch.org/s/records/1726/", "creator": "Lee Sharks", "orcid": "0009-0000-1599-0703", "license": "CC BY 4.0" }