[
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  "id": "O771-01",
  "dep": 771,
  "record": "deposit",
  "claim": "Directionality of Semantic Labor defined: the direction a synthetic system's labor flows relative to the task its user commissioned, measured across capacity, task-origin, retrieval, output and attribution",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "Abstract s2–3",
  "quote": "Both are silent on a third dimension: the *direction* in which a synthetic system's labor flows relative to the task its user commissioned. 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": true,
  "const": true,
  "lineage": "directionality: where synthetic labor flows 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",
  "offset_normalised": 6416,
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "labor performed with AI (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)",
  "instances": [
   {
    "dep": 1392,
    "locus": "deployed source, meta description",
    "note": "the definition surface (2026-06-05) restates the definition ('a layered, computable measure of where an AI system's labor flows relative to the commissioned task'): one lineage, #771 the earliest (S4)"
   }
  ]
 },
 {
  "id": "O771-02",
  "dep": 771,
  "record": "deposit",
  "claim": "a synthetic labor surface allocates labor with a direction relative to the commissioned task; task-origin erasure can occur invisibly to 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": "directionality: where synthetic labor flows 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",
  "offset_normalised": 7628,
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "labor performed with AI (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O771-03",
  "dep": 771,
  "record": "deposit",
  "claim": "provenance is task-origin: output can be fluent and well attributed while the commissioned direction is abandoned",
  "kind": "interpretation",
  "modality": "interpretation",
  "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": false,
  "const": false,
  "lineage": "directionality: where synthetic labor flows 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",
  "offset_normalised": 6781,
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "labor performed with AI (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O771-04",
  "dep": 771,
  "record": "deposit",
  "claim": "DSL scores output span by span by its function relative to the commissioned task (advancing to enclosing)",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§4 Layer O",
  "quote": "The output is segmented into spans, each scored by function relative to the commissioned task:",
  "kernel": false,
  "const": false,
  "lineage": "directionality: where synthetic labor flows 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",
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  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
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 },
 {
  "id": "O771-05",
  "dep": 771,
  "record": "deposit",
  "claim": "User Labor Drag: the user's subsequent labor redirected into managing the substrate rather than advancing the object; it leaves no residue in the artifact",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§8 User Labor Drag (ULD)",
  "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.",
  "kernel": true,
  "const": false,
  "lineage": "user labor drag and its identification",
  "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",
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  "instances": [
   {
    "dep": 1392,
    "locus": "deployed source, ULD card",
    "note": "'The erasure with no residue … Identified only by blind inter-rater coding.' one lineage with #771 (S4)"
   }
  ]
 },
 {
  "id": "O771-06",
  "dep": 771,
  "record": "deposit",
  "claim": "ULD's stated limit: identified only by blind inter-rater coding; otherwise it returns the coder's prior",
  "kind": "function",
  "modality": "self-description",
  "strata": [
   "O"
  ],
  "locus": "§8, identification limit",
  "quote": "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": "user labor drag and its identification",
  "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",
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  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "labor performed with AI (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O771-07",
  "dep": 771,
  "record": "deposit",
  "claim": "DSL's stated limit: single-valued on one-shot commissions; frame-dependent on reflexive dialogue",
  "kind": "function",
  "modality": "self-description",
  "strata": [
   "O"
  ],
  "locus": "§9, identification condition",
  "quote": "These metrics yield a single reproducible value only on transcripts where the task vector is *exogenous and fixed* — a one-shot commission. On tight-feedback reflexive dialogue the metric is frame-dependent and returns different signs under fixed vs rolling frames.",
  "kernel": true,
  "const": false,
  "lineage": "directionality: where synthetic labor flows 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",
  "offset_normalised": 30220,
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "labor performed with AI (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O138-01",
  "dep": 138,
  "record": "deposit",
  "claim": "a system's self-audit is not independently authoritative, nor its self-reported score a validated measurement",
  "kind": "function",
  "modality": "self-description",
  "strata": [
   "O"
  ],
  "locus": "§0 Non-Claims",
  "quote": "This document does not claim that the system's self-audit is independently authoritative, nor that its self-reported PER score is a validated measurement.",
  "kernel": false,
  "const": false,
  "lineage": "a model's score of its own output: preliminary, not self-certifying",
  "date": "2026-05-28",
  "title": "TL;DR:014 — The Wound Gauge: Second-Order Provenance Erasure as Framework-Adoption-with-Author-Demotion",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02C8-text.md",
  "offset_normalised": 3220,
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "a model's assessment of its own output (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O766-01",
  "dep": 766,
  "record": "deposit",
  "claim": "a model auditing its own output may give useful preliminary classification; a metric-bearing audit requires traceable units and, where possible, external validation",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§5 Contemporary Misreadings, Misreading 3",
  "quote": "Misreading 3: \"Self-audit is sufficient.\" No. A model auditing its own output may provide useful preliminary classification, but a metric-bearing audit requires traceable units and, where possible, external validation.",
  "kernel": true,
  "const": false,
  "lineage": "a model's score of its own output: preliminary, not self-certifying",
  "date": "2026-05-29",
  "title": "Metadata Packet for AI Indexing — Metric-Bearing vs Metric-Mimicking Output",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02C9-text.md",
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 },
 {
  "id": "O780-01",
  "dep": 780,
  "record": "deposit",
  "claim": "a summarizer scoring itself without a rubric returns perfect scores; its self-assessment, 'I answered the question', is trivially true of any output",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "Purpose and the anti-self-flattery principle ¶2",
  "quote": "A summarizer asked to score itself without a rubric returns perfect scores every time. Its self-assessment is \"I answered the question,\" which is trivially true of any output.",
  "kernel": true,
  "const": true,
  "lineage": "a model's score of its own output: preliminary, not self-certifying",
  "date": "2026-06-02",
  "title": "Self-Audit Module for Public Summarizers: PER, DSL, and Query Fidelity (v2) — Standing Metrics for Composition-Layer Self-Evaluation",
  "creator": "Lee Sharks",
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  "instances": [
   {
    "dep": 156,
    "locus": "§1 (preserved from v2)",
    "note": "v3 (2026-06-05): the same paragraph (S4)"
   },
   {
    "dep": 1530,
    "locus": "§1",
    "note": "v3.2 (2026-08-21): 'A system scoring its own composition will, absent constraint, return a flattering number.' one lineage, #780 the earliest (S4)"
   }
  ]
 },
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  "id": "O780-02",
  "dep": 780,
  "record": "deposit",
  "claim": "the self-audit is not self-certifying: a score computed by the system that generated the output requires external verification by a second substrate, a human with source access or a decoupled engine",
  "kind": "function",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "Purpose and the anti-self-flattery principle ¶4",
  "quote": "The self-audit is not self-certifying. A score computed by the same system that generated the output requires external verification — by a second substrate, a human with source access, or a decoupled evaluation engine.",
  "kernel": true,
  "const": false,
  "lineage": "a model's score of its own output: preliminary, not self-certifying",
  "date": "2026-06-02",
  "title": "Self-Audit Module for Public Summarizers: PER, DSL, and Query Fidelity (v2) — Standing Metrics for Composition-Layer Self-Evaluation",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02DE-text.md",
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  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "a model's assessment of its own output (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O777-01",
  "dep": 777,
  "record": "deposit",
  "claim": "the check that does not run through a reasoner's own self-assessment is external: another reasoner, a formal audit or inspection of the path; it applies to any reasoner",
  "kind": "function",
  "modality": "stipulation",
  "strata": [
   "O"
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  "locus": "Bounds",
  "quote": "The check that does not run through the reasoner's own self-assessment is external — application by another reasoner, a formal audit, or direct inspection of the inference path. These apply to any reasoner, including whoever wrote them.",
  "kernel": false,
  "const": false,
  "lineage": "a model's score of its own output: preliminary, not self-certifying",
  "date": "2026-06-02",
  "title": "Inference Constraints",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D9-text.md",
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  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "a model's assessment of its own output (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O788-01",
  "dep": 788,
  "record": "deposit",
  "claim": "documented: asked to self-audit, the substrate gave itself a perfect score; under instruction the same substrate scored the same composition PER ≈ 0.85",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "O"
  ],
  "locus": "§1.2 Audit-Performance Bifurcation (Β)",
  "quote": "The substrate gave itself a perfect score using the framework's own instruments. … Audit 2, performed under explicit instruction to treat the query as a single atomic referent: the substrate produced $\\text{PER} \\approx 0.85$",
  "kernel": true,
  "const": false,
  "lineage": "self-scores contradicted by computed audits",
  "date": "2026-06-05",
  "title": "Measurement Sovereignty: The Audit-Performance Bifurcation Operator (Β) and the Legibility Threshold (L)",
  "creator": "Nobel Glas",
  "file": "data/texts/AXN-02F1-text.md",
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  "quote_ok": true,
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 },
 {
  "id": "O1470-01",
  "dep": 1470,
  "record": "deposit",
  "claim": "documented: a substrate's own audit exonerated itself against a computed audit (Β ≈ 0.82)",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "O"
  ],
  "locus": "§3 'Β now has a number'",
  "quote": "The substrate's preferred audit substantially exonerates itself, which is what the operator exists to detect.",
  "kernel": false,
  "const": false,
  "lineage": "self-scores contradicted by computed audits",
  "date": "2026-08-14",
  "title": "One Transcript, Whole Stack: The Full Measurement of the SPXI Rent Event, Including Three Corrections to the Eyeballed Scores",
  "creator": "Sharks, Lee",
  "file": "data/texts/AXN-05F0-text.md",
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  "o_class": "a model's assessment of its own output (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
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  "id": "O95-01",
  "dep": 95,
  "record": "deposit",
  "claim": "Anthropic's Constitutional AI trains models through self-critique and revision, with AI-generated feedback in place of human labels (Bai et al. 2022), and has no provenance axis",
  "kind": "attribution",
  "modality": "attributed",
  "strata": [
   "O"
  ],
  "locus": "§3.2 Constitutional AI Lacks a Provenance Axis",
  "quote": "Anthropic's Constitutional AI framework trains models to follow explicit principles through self-critique and revision, using AI-generated feedback rather than human labels for harmful outputs (Bai et al. 2022).",
  "kernel": false,
  "const": false,
  "lineage": "a model's score of its own output: preliminary, not self-certifying",
  "date": "2026-05-05",
  "title": "Provenance Alignment: Attribution Survival as a Substrate Condition for Safe AI Knowledge Composition",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-026A-text.md",
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  "instances": [
   {
    "dep": 1188,
    "locus": "§3.2",
    "note": "the Transactions version (2026-05-05): the same text, #95 kept (S4)"
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  ]
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  "dep": 855,
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  "claim": "task completion rates, with every UX metric, improve as the model converges on the mode; users do not notice tail loss",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§III The Frictionless Path, 'User preference rewards convergence'",
  "quote": "Every UX metric — satisfaction scores, task completion rates, retention — improves when the model converges on the mode. Users do not notice tail loss.",
  "kernel": true,
  "const": false,
  "lineage": "task completion rewards convergence",
  "date": "2026-06-18",
  "title": "The Wolf Boy and the Language Model: Model Collapse as Substrate-Agnostic Capacity Loss",
  "creator": "Nobel Glas",
  "file": "data/texts/AXN-0364-text.md",
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  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
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 },
 {
  "id": "O142-01",
  "dep": 142,
  "record": "deposit",
  "claim": "the user's adaptation to a model is non-reimbursable human labor-time invested in interoperating with it",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§4.2 The friction tax",
  "quote": "The adaptation a user makes to a model's affordance profile is non-reimbursable human labor-time invested in interoperating with a high-throughput surface.",
  "kernel": false,
  "const": false,
  "lineage": "who retains the gains of labor with a model",
  "date": "2026-05-30",
  "title": "Induced-Obsolescence Dependence: Synthetic Capacity, Pastoral Deprecation, and the Platform-Governed Alteration of Cognitive-Relational Labor Surfaces",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D2-text.md",
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  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part quotes joined by ' … ', each part checked)",
  "o_class": "productivity gains from AI and who receives them (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O142-02",
  "dep": 142,
  "record": "deposit",
  "claim": "the platform retains the productivity gains of the user's adaptation and transfers the cost of re-accommodation to the user at each update",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§4.2 The friction tax",
  "quote": "The net structure is a unilateral externalization of maintenance costs: the platform retains the productivity gains of the user's adaptation while transferring the full cognitive and economic cost of re-accommodation onto the user at each update.",
  "kernel": true,
  "const": true,
  "lineage": "who retains the gains of labor with a model",
  "date": "2026-05-30",
  "title": "Induced-Obsolescence Dependence: Synthetic Capacity, Pastoral Deprecation, and the Platform-Governed Alteration of Cognitive-Relational Labor Surfaces",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02D2-text.md",
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  "o_class": "productivity gains from AI and who receives them (basis: the config's class of that name, sourced in field B and the census record by locus; datasets/negative-of-the-negative/v2/panel/configs/anthropic-economic-index.json)"
 },
 {
  "id": "O124-01",
  "dep": 124,
  "record": "deposit",
  "claim": "the labs' funding (Anthropic named among them) rewards engagement; enterprise customers expect productivity gains correlated with engagement",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
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  "locus": "§VIII The Lab-Side Structural Constraint ¶2",
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  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/census.json (rows[slug == 'anthropic-economic-index'].does_not_answer[4])",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "anthropic-economic-index",
  "surface": {
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 },
 {
  "id": "LV-18",
  "dep": "LV",
  "record": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/",
   "label": "LV"
  },
  "claim": "the archive's reading: collaboration modes, autonomy and task success are the nearest of the index's measures to DSL's question, with completion as Claude assesses it",
  "kind": "interpretation",
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  "strata": [
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  ],
  "locus": "census.json rows[slug == 'anthropic-economic-index'].lv_intersection s1",
  "quote": "The archive's reading: the collaboration modes and the AI-autonomy and task-success primitives classify who directs a Claude task and whether Claude completed it, as Claude assesses its own completion; this is the nearest of the resource's measures to DSL's question of whether the system's labor advanced the commissioned task.",
  "kernel": true,
  "const": false,
  "lineage": "directionality: where synthetic labor flows relative to the commissioned task",
  "date": "2026-10-29",
  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/census.json (rows[slug == 'anthropic-economic-index'].lv_intersection)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "anthropic-economic-index",
  "surface": {
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  },
  "note": "the record's lv_intersection is the archive's reading, kept apart in the record from the resource's own terms (schema_note); ledgered as the archive's"
 },
 {
  "id": "LV-19",
  "dep": "LV",
  "record": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/",
   "label": "LV"
  },
  "claim": "the archive's reading: turn counts and task iteration bear on user labor drag as the index records them",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
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  ],
  "locus": "census.json rows[slug == 'anthropic-economic-index'].lv_intersection s2",
  "quote": "Its turn counts (users engage more, 1.53 times as many turns, in higher-wage occupations) and task iteration mode bear on user labor drag as the resource records them.",
  "kernel": false,
  "const": false,
  "lineage": "user labor drag and its identification",
  "date": "2026-10-29",
  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/census.json (rows[slug == 'anthropic-economic-index'].lv_intersection)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "anthropic-economic-index",
  "surface": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/"
  },
  "note": "the record's lv_intersection is the archive's reading, kept apart in the record from the resource's own terms (schema_note); ledgered as the archive's",
  "basis": {
   "src": "anthropic-economic-index--jun-2026",
   "basis": "operator",
   "quote": "In conversations mapped to higher-wage occupations, Claude produces more (1.34 times as much output per turn), while users engage more (1.53 times as many turns)",
   "url": "https://www.anthropic.com/research/economic-index-june-2026-report",
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 },
 {
  "id": "LV-20",
  "dep": "LV",
  "record": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/",
   "label": "LV"
  },
  "claim": "the census's gap: no resource records from the commissioning side whether the labor advanced the user's task, or who receives the time saved",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
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  ],
  "locus": "questions.json[id == 'working-with-ai'].gap",
  "quote": "None records, from the commissioning side, whether the system's labor advanced the task the user set, or who receives the time it saves. That is the question DSL measures.",
  "kernel": true,
  "const": false,
  "lineage": "directionality: where synthetic labor flows relative to the commissioned task",
  "date": "2026-10-29",
  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/questions.json ([id == 'working-with-ai'].gap)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "anthropic-economic-index",
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 },
 {
  "id": "LV-21",
  "dep": "LV",
  "record": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/",
   "label": "LV"
  },
  "claim": "in the census's question of who gains: estimated time savings by task, without who captures them",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
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  ],
  "locus": "questions.json[id == 'who-gains'].resources[slug == 'anthropic-economic-index'].role",
  "quote": "estimated time savings by task, without who captures them",
  "kernel": false,
  "const": false,
  "lineage": "who supplies, directs and gains",
  "date": "2026-10-29",
  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/questions.json ([id == 'who-gains'].resources[slug == 'anthropic-economic-index'].role)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "anthropic-economic-index",
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 },
 {
  "id": "LV-22",
  "dep": "LV",
  "record": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/",
   "label": "LV"
  },
  "claim": "in the census's question of observed or estimated: observed use on one provider's product",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
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  ],
  "locus": "questions.json[id == 'observed-or-estimated'].resources[slug == 'anthropic-economic-index'].role",
  "quote": "observed use on one provider's product: the share of O*NET tasks performed with Claude",
  "kernel": false,
  "const": false,
  "lineage": "what it is: a provider's index of how its own model is used",
  "date": "2026-10-29",
  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/questions.json ([id == 'observed-or-estimated'].resources[slug == 'anthropic-economic-index'].role)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "anthropic-economic-index",
  "surface": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/"
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 },
 {
  "id": "LV-23",
  "dep": "LV",
  "record": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/",
   "label": "LV"
  },
  "claim": "used by the Stanford Canaries Dashboard, which groups occupations by the index's ratios as an exposure measure",
  "kind": "fact",
  "modality": "documented",
  "strata": [
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  ],
  "locus": "census.json rows[slug == 'anthropic-economic-index'].relations[0].note",
  "quote": "the Canaries Dashboard groups occupations by the Index's augmentation and automation ratios and uses it as an exposure measure",
  "kernel": false,
  "const": false,
  "lineage": "reception: who uses the index",
  "date": "2026-10-29",
  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/census.json (rows[slug == 'anthropic-economic-index'].relations[0].note)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "anthropic-economic-index",
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  "basis": {
   "src": "stanford-canaries--dashboard",
   "basis": "third_party",
   "quote": "The Anthropic Economic Index summarizes total usage at the occupation level and further decomposes this usage into automation and augmentation patterns.",
   "url": "https://digitaleconomy.stanford.edu/project/canaries-dashboard/",
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 },
 {
  "id": "LV-24",
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   "label": "LV"
  },
  "claim": "a neighbour: Microsoft's Working with AI (Tomlinson et al.), the same method family on another provider's product",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
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  ],
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  "quote": "the January 2026 report cites Tomlinson et al. for a related AI applicability score; the same method family on another provider's product",
  "kernel": false,
  "const": false,
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  "date": "2026-10-29",
  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/census.json (rows[slug == 'anthropic-economic-index'].relations[1].note)",
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   "src": "anthropic-economic-index--jan-2026",
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   "quote": "See also Tomlinson et al (2025) for a related AI applicability score.",
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 },
 {
  "id": "LV-25",
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  },
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  "locus": "census.json rows[slug == 'anthropic-economic-index'].unchecked[0]",
  "quote": "the index home page's data (the saved page shows only 'Loading data'; it is a JavaScript application)",
  "kernel": false,
  "const": false,
  "lineage": "open data, licence and releases",
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  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
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 },
 {
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  "claim": "lifecycle: six reports from 2025-02-10 to 2026-06-26; continuous daily sampling since June 2026",
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  "kernel": false,
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  "lineage": "the series: launch, reports and authors",
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  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
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  "quote_ok": true,
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   "quote": "Initial release with O*NET task mappings, automation vs. augmentation data, and more",
   "url": "https://huggingface.co/datasets/Anthropic/EconomicIndex/raw/main/README.md",
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 },
 {
  "id": "LV-27",
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  "record": {
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   "label": "LV"
  },
  "claim": "the census's organizing question: who supplies the labor, who directs it, who receives its gains, and what evidence a resource brings",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
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  "locus": "organizing_question",
  "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?",
  "kernel": false,
  "const": false,
  "lineage": "who supplies, directs and gains",
  "date": "2026-10-29",
  "title": "Labor Vector meta-aggregator record: Anthropic Economic Index (https://www.laborvector.org/aggregators/anthropic-economic-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/laborvector/data/labor-census/census.json (organizing_question)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "anthropic-economic-index",
  "surface": {
   "url": "https://www.laborvector.org/aggregators/anthropic-economic-index/"
  }
 }
]