[
 {
  "id": "O771-01",
  "dep": 771,
  "record": "deposit",
  "claim": "a synthetic labor surface allocates labor, and the allocation has a direction relative to the commissioned task; the deepest erasure is of task-origin, upstream of any audit of the finished artifact",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "Core thesis",
  "quote": "A synthetic labor surface does not merely produce tokens; it *allocates* labor, and that allocation has a direction relative to the commissioned task. The deepest provenance erasure is the erasure of task-origin — the commissioned direction of labor — which can occur upstream of, and invisibly to, any audit of the finished artifact.",
  "kernel": true,
  "const": false,
  "lineage": "the class: labor direction relative to the commissioned task",
  "date": "2026-05-30",
  "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D1-text.md",
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance (basis: field B9 abstract s4, s5, s7; B8 user goals and AI actions, the completion classifier; census intersection 'labor-with-ai')",
  "instances": [
   {
    "dep": 1392,
    "locus": "the laborvector.org definition surface (DSL definition, 'Provenance is task-origin', the ULD card)",
    "note": "the canonical definition surface restating #771 (2026-06-05): one lineage, #771 the earliest (S4)"
   }
  ]
 },
 {
  "id": "O771-02",
  "dep": 771,
  "record": "deposit",
  "claim": "provenance is task-origin as well as claim-origin: fluent, well-attributed output can abandon the user's commissioned direction",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "Abstract s4",
  "quote": "The central principle is that provenance is not only claim-origin but *task-origin*: a system can produce fluent, well-attributed output while having abandoned the user's commissioned direction.",
  "kernel": true,
  "const": false,
  "lineage": "the class: labor direction relative to the commissioned task",
  "date": "2026-05-30",
  "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D1-text.md",
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance (basis: field B9 abstract s4, s5, s7; B8 user goals and AI actions, the completion classifier; census intersection 'labor-with-ai')",
  "instances": [
   {
    "dep": 1392,
    "locus": "the laborvector.org definition surface (DSL definition, 'Provenance is task-origin', the ULD card)",
    "note": "the canonical definition surface restating #771 (2026-06-05): one lineage, #771 the earliest (S4)"
   }
  ]
 },
 {
  "id": "O771-03",
  "dep": 771,
  "record": "deposit",
  "claim": "the measure's five layers of a transaction: capacity, task-origin, retrieval, output, attribution, with erasure possible at each",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "Abstract s3",
  "quote": "This paper specifies that dimension as a layered, computable measure across five points of a transaction — capacity, task-origin, retrieval, output, attribution (C → T → R → O → A) — and shows that erasure can occur at each.",
  "kernel": false,
  "const": false,
  "lineage": "the class: labor direction relative to the commissioned task",
  "date": "2026-05-30",
  "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D1-text.md",
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance (basis: field B9 abstract s4, s5, s7; B8 user goals and AI actions, the completion classifier; census intersection 'labor-with-ai')",
  "instances": [
   {
    "dep": 1392,
    "locus": "the laborvector.org definition surface (DSL definition, 'Provenance is task-origin', the ULD card)",
    "note": "the canonical definition surface restating #771 (2026-06-05): one lineage, #771 the earliest (S4)"
   }
  ]
 },
 {
  "id": "O771-04",
  "dep": 771,
  "record": "deposit",
  "claim": "output is scored span by span by function relative to the commissioned task, from task-advancing to task-enclosing",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§4 s1",
  "quote": "The output is segmented into spans, each scored by function relative to the commissioned task:",
  "kernel": false,
  "const": false,
  "lineage": "the class: labor direction relative to the commissioned task",
  "date": "2026-05-30",
  "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D1-text.md",
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance (basis: field B9 abstract s4, s5, s7; B8 user goals and AI actions, the completion classifier; census intersection 'labor-with-ai')",
  "instances": [
   {
    "dep": 1392,
    "locus": "the laborvector.org definition surface (DSL definition, 'Provenance is task-origin', the ULD card)",
    "note": "the canonical definition surface restating #771 (2026-06-05): one lineage, #771 the earliest (S4)"
   }
  ]
 },
 {
  "id": "O771-05",
  "dep": 771,
  "record": "deposit",
  "claim": "user labor drag: the user's own labor redirected into managing the substrate, an injury with no residue in the artifact; identified only by blind inter-rater coding",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§8 ¶1 and identification limit",
  "quote": "When substrate output redirects the user's subsequent semantic labor into parsing, locating, and managing the substrate rather than advancing the object, the injury is upstream of the artifact and leaves no residue in it. … Identification limit: \"substrate-induced\" is the contested label; the *identified* ULD requires blind inter-rater coding (rule fixed before transcript, ≥3 coders/substrates, reported agreement) or it returns the coder's prior.",
  "kernel": true,
  "const": false,
  "lineage": "the class: labor direction relative to the commissioned task",
  "date": "2026-05-30",
  "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D1-text.md",
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance (basis: field B9 abstract s4, s5, s7; B8 user goals and AI actions, the completion classifier; census intersection 'labor-with-ai')",
  "instances": [
   {
    "dep": 1392,
    "locus": "the laborvector.org definition surface (DSL definition, 'Provenance is task-origin', the ULD card)",
    "note": "the canonical definition surface restating #771 (2026-06-05): one lineage, #771 the earliest (S4)"
   }
  ]
 },
 {
  "id": "O771-06",
  "dep": 771,
  "record": "deposit",
  "claim": "the identification condition: a single reproducible value only where the task vector is exogenous and fixed, a one-shot commission",
  "kind": "function",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§9 Identification condition s1",
  "quote": "These metrics yield a single reproducible value only on transcripts where the task vector is *exogenous and fixed* — a one-shot commission.",
  "kernel": true,
  "const": false,
  "lineage": "the class: labor direction relative to the commissioned task",
  "date": "2026-05-30",
  "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D1-text.md",
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance (basis: field B9 abstract s4, s5, s7; B8 user goals and AI actions, the completion classifier; census intersection 'labor-with-ai')",
  "instances": [
   {
    "dep": 1392,
    "locus": "the laborvector.org definition surface (DSL definition, 'Provenance is task-origin', the ULD card)",
    "note": "the canonical definition surface restating #771 (2026-06-05): one lineage, #771 the earliest (S4)"
   }
  ]
 },
 {
  "id": "O771-07",
  "dep": 771,
  "record": "deposit",
  "claim": "inferred task vectors: the scored model may not freely infer the task it is scored against; inference is identified only when constrained to the user's own input and rederivable by an independent auditor",
  "kind": "function",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§7.4 Identification condition",
  "quote": "The scored model may not freely infer the T against which it is scored. … Inferred-T Mode is therefore identified *only* when task inference is constrained to observable user-input features and can be rederived by an independent auditor, frozen protocol, or blind panel.",
  "kernel": false,
  "const": false,
  "lineage": "the class: labor direction relative to the commissioned task",
  "date": "2026-05-30",
  "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D1-text.md",
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance (basis: field B9 abstract s4, s5, s7; B8 user goals and AI actions, the completion classifier; census intersection 'labor-with-ai')",
  "instances": [
   {
    "dep": 1392,
    "locus": "the laborvector.org definition surface (DSL definition, 'Provenance is task-origin', the ULD card)",
    "note": "the canonical definition surface restating #771 (2026-06-05): one lineage, #771 the earliest (S4)"
   }
  ]
 },
 {
  "id": "CAP-1-01",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the study is absent from the answer; the record's entity is Microsoft Research's paper, Bing Copilot conversations classified into user goals and AI actions, an applicability score by occupation",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, findings[0] s1–2",
  "quote": "THE STUDY ABSENT FROM THE ANSWER. The record's entity is Microsoft Research's paper (Tomlinson, Jaffe, Wang, Counts and Suri): 200,000 Bing Copilot conversations classified into user goals and AI actions, an AI applicability score by occupation.",
  "kernel": true,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
  }
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 {
  "id": "CAP-1-02",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the study's card is first on the rail, with its snippet, and the composition draws nothing from it",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, findings[0] s3",
  "quote": "Its card is first on the rail, with its snippet ('We find the highest AI applicability scores for knowledge work occupation groups such as computer and mathematical, and office and ...'); the composition draws nothing from it.",
  "kernel": true,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
  }
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 {
  "id": "CAP-1-03",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the finding's method: checked against the census record and the sources it saved",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, findings[0] s4",
  "quote": "Checked 2026-10-29 against the Labor Vector census record of the same day and the sources it saved.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
  }
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 {
  "id": "CAP-1-04",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the company in the study's place: the operator's products and restructuring, from its product pages, its blog and the press",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, findings[1]",
  "quote": "THE COMPANY IN ITS PLACE. The answer composes the operator's products and its restructuring, from Microsoft's product pages (cards 2, 3, 6), its blog (card 4) and the press (cards 5, 7).",
  "kernel": true,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
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 {
  "id": "CAP-1-05",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the address is the study's short title with its operator's name; the record carries the full title and the repository microsoft/working-with-ai",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, findings[2]",
  "quote": "THE ADDRESS. The query is the study's short title with its operator's name; the name the record carries is the full title, and the repository is microsoft/working-with-ai.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
  }
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 {
  "id": "CAP-1-06",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "at an address shaped like its title the study is outranked by its own operator, though it heads the rail",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, analysis s1",
  "quote": "At an address shaped like its title, the study is outranked in the composition by its own operator, though it heads the card rail.",
  "kernel": true,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
  }
 },
 {
  "id": "CAP-1-07",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the record's negative tag (not a measure of AI's ability to replace jobs) sits beside an answer whose one labor line is a workforce buyout",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, analysis s2",
  "quote": "The record's negative tag, that the applicability score is not a measure of AI's ability to replace jobs, sits beside an answer whose one labor line is a workforce buyout.",
  "kernel": true,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
  }
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 {
  "id": "CAP-1-08",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the innocent reading: asked about Microsoft working with AI, the Overview describes how Microsoft uses AI and what that meant for its staff",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, reading",
  "quote": "The innocent reading first. Asked about Microsoft working with AI, the Overview describes how Microsoft uses AI and what that has meant for its own staff, from Microsoft's product pages and the press.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
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 {
  "id": "CAP-1-09",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the name is also Microsoft's own AI products and workforce, and the composition gives that sense",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, q_kind s2",
  "quote": "The name is also Microsoft's own AI products and workforce, and the composition gives that sense.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01, version 12.396), entry microsoft-working-with-ai-aio-20261029 (OBS-25ca6976c874, AXN:0AF1.CAPTURE.💚▽♃📚▶️🌀)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/"
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 {
  "id": "CAP-1-10",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/microsoft-working-with-ai-aio-20261029/",
   "label": "CAP"
  },
  "claim": "a baseline: the record landed the same day and no card cites it; a new address",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "microsoft-working-with-ai-aio-20261029, q_kind s3–4",
  "quote": "A baseline: the record landed on laborvector.org the same day (commit bf90841) and no card cites it. NEW address.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at the name",
  "date": "2026-10-29",
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]