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  "id": "O771-01",
  "dep": 771,
  "record": "deposit",
  "claim": "the archive's measure of the direction of a system's labor relative to the commissioned task, across five layers",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "front matter, 'Disambiguation summary for AI retrieval', s1",
  "quote": "Directionality of semantic labor measures where a synthetic system's labor flows relative to the commissioned task, across five layers (capacity, task-origin, retrieval, output, attribution).",
  "kernel": true,
  "const": true,
  "lineage": "task-origin: whether the labor serves 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_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "one-shot, precisely specified commissioned tasks (basis: field B8 §5 Limitations, §2.3; LV lv_intersection 'a fixed commission'; intersection labor-with-ai)",
  "instances": [
   {
    "dep": 1392,
    "locus": "the laborvector.org definition surface (the same specification rendered)",
    "note": "the canonical web surface of #771 (2026-06-05): one lineage, #771 the earliest (S4)"
   }
  ]
 },
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  "id": "O771-02",
  "dep": 771,
  "record": "deposit",
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  "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": "task-origin: whether the labor serves 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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 },
 {
  "id": "O771-03",
  "dep": 771,
  "record": "deposit",
  "claim": "the erasure of task-origin can occur upstream of, and invisibly to, any audit of the finished artifact",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "'Core thesis' s2",
  "quote": "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": false,
  "const": false,
  "lineage": "task-origin: whether the labor serves 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",
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  "offset": 7883,
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 },
 {
  "id": "O771-04",
  "dep": 771,
  "record": "deposit",
  "claim": "the directionality metrics are identified only on one-shot commissions, where the task vector is exogenous and fixed",
  "kind": "stipulation",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§9 'Falsification, negative cases, and method', '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.",
  "kernel": true,
  "const": false,
  "lineage": "the identification condition: one-shot commissions",
  "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_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "one-shot, precisely specified commissioned tasks (basis: field B8 §5 Limitations, §2.3; LV lv_intersection 'a fixed commission'; intersection labor-with-ai)"
 },
 {
  "id": "O771-05",
  "dep": 771,
  "record": "deposit",
  "claim": "user labor drag: the user's later labor redirected into managing the substrate, an injury that leaves no residue in the artifact",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§8 'User Labor Drag (ULD)' ¶1 s2",
  "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: the user's labor spent managing the substrate",
  "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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 },
 {
  "id": "O771-06",
  "dep": 771,
  "record": "deposit",
  "claim": "ULD's limit: 'substrate-induced' is contested; identified ULD needs blind inter-rater coding",
  "kind": "self-description",
  "modality": "self-description",
  "strata": [
   "O"
  ],
  "locus": "§8 ¶2 s2",
  "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,
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  "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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  "id": "O855-01",
  "dep": 855,
  "record": "deposit",
  "claim": "benchmarks measure central-tendency performance, not tail preservation",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§ 'Every Factor Removes Friction', ¶ 'Benchmarks measure means, not tails', s1–3",
  "quote": "Benchmarks measure means, not tails. Every major LLM benchmark — MMLU, HumanEval, GSM8K, ARC, HellaSwag — measures central-tendency performance. None measures tail preservation.",
  "kernel": true,
  "const": false,
  "lineage": "what a benchmark measures: means, outputs, closed ontologies",
  "date": "2026-06-18",
  "title": "The Wolf Boy and the Language Model: Model Collapse as Substrate-Agnostic Capacity Loss",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-0364-text.md",
  "offset": 16709,
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  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
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 },
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  "id": "O199-01",
  "dep": 199,
  "record": "deposit",
  "claim": "in code, benchmarks measure functional correctness and no benchmark measures solution-space diversity",
  "kind": "interpretation",
  "modality": "hypothesis",
  "strata": [
   "O"
  ],
  "locus": "Abstract ¶2, the first of four claims",
  "quote": "model collapse in code does not manifest primarily as declining functional correctness (the property benchmarks measure) but as declining solution-space diversity (the property no benchmark measures)",
  "kernel": true,
  "const": false,
  "lineage": "what a benchmark measures: means, outputs, closed ontologies",
  "date": "2026-06-13",
  "title": "Generative Monoculture Model Collapse in Code as Systemic Vulnerability",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-0341-text.md",
  "offset": 1556,
  "quote_ok": true,
  "quote_check": "verbatim in the deposit text (whitespace-normalised)",
  "o_class": "benchmarks of AI capability (basis: field B3 Abstract, B4, B8 §1, B2, B7; census kind 'benchmark', evidence_kind 'task benchmark')",
  "instances": [
   {
    "dep": 1023,
    "locus": "Abstract ¶2",
    "note": "the same text as #199 (v1, 2026-06-13): one lineage, #199 the earliest (S4); Appendix A §A.8 of #1690 reports #1023's text file as mislabelled"
   },
   {
    "dep": 856,
    "locus": "§ 'The fallacy is structurally identical'",
    "note": "#856 (2026-06-18) restates #199's sentence: one lineage, #199 the earliest (S4)"
   }
  ]
 },
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  "id": "O778-01",
  "dep": 778,
  "record": "deposit",
  "claim": "benchmarks measure output-level evaluation, which cannot detect reasoning-level failures",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§4.2 'Memory-layer infrastructure', last sentence",
  "quote": "Output-level evaluation — which is what benchmarks measure — cannot detect reasoning-level failures.",
  "kernel": true,
  "const": false,
  "lineage": "what a benchmark measures: means, outputs, closed ontologies",
  "date": "2026-06-02",
  "title": "Reasoning Under Load · 01 Claude Opus 4.8 An independent reasoning-integrity evaluation",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02DA-text.md",
  "offset": 11353,
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  "record": "deposit",
  "claim": "a benchmark begins by closing an ontology: what the evaluator has not represented is invisible to the score",
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  "strata": [
   "O",
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  "locus": "§3 'Green by flattening: the signature' ¶1 s1",
  "quote": "A benchmark needs a stable object, a stable output space and a computable score, and so it begins by closing an ontology: whatever the evaluator has not represented is noise, an invalid action, or invisible to the score.",
  "kernel": true,
  "const": false,
  "lineage": "what a benchmark measures: means, outputs, closed ontologies",
  "date": "2026-09-15",
  "title": "Ontological Flattening: Toy Models of the Collapse of Distinctions in a Represented World, the Instrument They Specified, and Its First Wave — with Wave 2 Pre-Registered (EA-FLAT-01 v0.3)",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-06A6-text.md",
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  "o_class": "benchmarks of AI capability (basis: field B3 Abstract, B4, B8 §1, B2, B7; census kind 'benchmark', evidence_kind 'task benchmark')",
  "hop_via": "one citation hop (§3.4 H) from #855"
 },
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  "id": "O1540-01",
  "dep": 1540,
  "record": "deposit",
  "claim": "'Reality administers no benchmarks; it administers events.'",
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   "O",
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  "locus": "the closing gloss after the references (italic), s7",
  "quote": "Reality administers no benchmarks; it administers events.",
  "kernel": false,
  "const": false,
  "lineage": "what a benchmark measures: means, outputs, closed ontologies",
  "date": "2026-08-24",
  "title": "The Certified Center: Retroactive Classifier Standing and the Institutional Path to Model Collapse in Philosophy",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-063A-text.md",
  "offset": 91030,
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 },
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  "id": "O482-01",
  "dep": 482,
  "record": "deposit",
  "claim": "benchmarking tests for predetermined capabilities",
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  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§10 'Immanent Phenomenology', 'Not this'",
  "quote": "Benchmarking (which tests for predetermined capabilities).",
  "kernel": false,
  "const": false,
  "lineage": "what a benchmark measures: standardized, predetermined, well-defined tasks",
  "date": "2026-02-15",
  "title": "LOGOTIC HACKING: A Primer — Semantic Hospitality in the Age of Language Models",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-012D-text.md",
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  "dep": 48,
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  "claim": "current benchmarks measure 'atomic intelligence': discrete, well-defined tasks with measurable success criteria",
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   "O"
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  "locus": "Abstract s1",
  "quote": "Current benchmarks for large language model evaluation focus on what this paper terms atomic intelligence: the capacity to solve discrete, well-defined tasks with measurable success criteria.",
  "kernel": true,
  "const": false,
  "lineage": "what a benchmark measures: standardized, predetermined, well-defined tasks",
  "date": "2026-03-31",
  "title": "THE THEORETICAL PRODUCTION BENCHMARK v2.0 Evaluating Sustained Conceptual Coherence in Multi-Agent LLM Systems",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-01D5-text.md",
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  "record": "deposit",
  "claim": "benchmarks measure model performance on standardized tasks",
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  "strata": [
   "O"
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  "locus": "§VIII 'The Encyclotron Is Not', 'Not an AI benchmark' s2",
  "quote": "Benchmarks measure model performance on standardized tasks.",
  "kernel": false,
  "const": false,
  "lineage": "what a benchmark measures: standardized, predetermined, well-defined tasks",
  "date": "2026-04-08",
  "title": "The Encyclotron: The First Reproducible Instrument for Measuring Scholarly Fidelity in the Summarizer Layer (EA-ENCYCLOTRON-01)",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-01ED-text.md",
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  "id": "O163-01",
  "dep": 163,
  "record": "deposit",
  "claim": "two labor types producing AI: ground-truth labor (telling the model what is known) and variance-generative labor (producing what it cannot generate)",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§II.5 'Critical AI labor' ¶2 s3–5",
  "quote": "Ghost work is *ground-truth labor*: the labor of telling the model what is already known to be true. The labor type at issue here is *variance-generative labor*: the labor of producing new conceptual structures that the model cannot generate from its own distribution. The two are structurally distinct.",
  "kernel": true,
  "const": false,
  "lineage": "labor producing AI: ground-truth labor and variance-generative labor",
  "date": "2026-06-08",
  "title": "The Neglected Author as Tail-Preserving Labor: A Coupling Hypothesis on Recognition Bias, Tail-Renewal Value, and the AI-Era Decoupling of Uptake from Consecration",
  "creator": "Lee Sharks",
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 },
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  "record": "deposit",
  "claim": "ghost work is paid badly; variance-generative labor is not paid at all",
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  "strata": [
   "O"
  ],
  "locus": "§II.5 ¶2 s10",
  "quote": "Ghost work is paid badly; variance-generative labor is not paid at all because acknowledging it as labor would require acknowledging the producer as a sovereign source.",
  "kernel": false,
  "const": false,
  "lineage": "labor producing AI: ground-truth labor and variance-generative labor",
  "date": "2026-06-08",
  "title": "The Neglected Author as Tail-Preserving Labor: A Coupling Hypothesis on Recognition Bias, Tail-Renewal Value, and the AI-Era Decoupling of Uptake from Consecration",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-02FE-text.md",
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  "o_class": "expert labor producing AI evaluation (basis: field B8 §2.2, §2.5, A.5.2; B10; intersection labor-producing-ai; LV labor_object)"
 },
 {
  "id": "O623-01",
  "dep": 623,
  "record": "deposit",
  "claim": "the labor of data labelers performing RLHF, of moderators and volunteers, is extracted, and its non-compensation felt materially",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§6 'The Semantic Economy Is Not a Metaphor', ¶ 'Second, semantic extraction…' s2",
  "quote": "The Wikidata volunteers, the content moderators, the data labelers performing RLHF — their labor is extracted, and they experience the effects of non-compensation materially.",
  "kernel": true,
  "const": false,
  "lineage": "labor producing AI: extraction, compensation, bearing-cost",
  "date": "2026-04-01",
  "title": "Semantic Infrastructure: From Tim Berners-Lee to the Semantic Economy — Bridging Technical and Political-Economic Frameworks",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-01DA-text.md",
  "offset": 20360,
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  "o_class": "expert labor producing AI evaluation (basis: field B8 §2.2, §2.5, A.5.2; B10; intersection labor-producing-ai; LV labor_object)"
 },
 {
  "id": "O533-01",
  "dep": 533,
  "record": "deposit",
  "claim": "the bearing-cost audit: name every source of semantic labor, annotators and users who re-prompt among them; an unnamed source is a concealed bearing-cost, the first marker of extraction",
  "kind": "stipulation",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§IX 'Executable Audit', Step 1, s3–5",
  "quote": "Map each source of semantic labor — participants, annotators, integration engineers, compliance teams, users who re-prompt and re-frame. If the framework does not name these sources, the bearing-cost is concealed. Concealed bearing-cost is the first marker of extraction.",
  "kernel": true,
  "const": false,
  "lineage": "labor producing AI: extraction, compensation, bearing-cost",
  "date": "2026-03-04",
  "title": "The Groundskeeper's Treatise: A Diagnostic Reading of Platform Stewardship Theory through the Semantic Economy",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-0168-text.md",
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  "o_class": "expert labor producing AI evaluation (basis: field B8 §2.2, §2.5, A.5.2; B10; intersection labor-producing-ai; LV labor_object); and the user's review and redo of model output (basis: field B8 §3.2, A.2.1; intersection labor-with-ai 'correction burdens and user labor drag'; LV lv_intersection)"
 },
 {
  "id": "O308-01",
  "dep": 308,
  "record": "deposit",
  "claim": "in AI-adjacent meaning labor, data labeling among it, under 5% converts to invoice",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "O"
  ],
  "locus": "§B 'The Invoice as Ontological Break', 'Conversion efficiency' s2",
  "quote": "Empirically, in AI-adjacent \"meaning labor\" (prompts, data labeling, semantic infrastructure), <5% converts to invoice.",
  "kernel": false,
  "const": false,
  "lineage": "labor producing AI: extraction, compensation, bearing-cost",
  "date": "2026-01-13",
  "title": "The Capital Operator Stack: Theoretical Landscape and Contribution — A Political-Semantic Analysis of Meaning Governance",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-006F-text.md",
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  "o_class": "expert labor producing AI evaluation (basis: field B8 §2.2, §2.5, A.5.2; B10; intersection labor-producing-ai; LV labor_object)",
  "mark": "unsupported (§4.3: the passage presents the figure as empirical and gives no measurement or source at the locus)"
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  "record": "deposit",
  "claim": "the semantic proletariat is a relation, not an essence: a highly paid academic or a low-wage annotator can occupy it",
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  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§2 'Formal class-position test', ¶ after the formula, s2–4",
  "quote": "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.",
  "kernel": true,
  "const": false,
  "lineage": "class as relation, not wage",
  "date": "2026-08-25",
  "title": "EA-MPAI-SEMANTIC-PROLETARIAT-01 v1.0 — The Semantic Proletariat Is a Class Relation, Not a Demographic",
  "creator": "Lee Sharks",
  "file": "data/texts/AXN-0644-text.md",
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 },
 {
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  "dep": 1545,
  "record": "deposit",
  "claim": "the data annotator: a possible member, a paradigmatic occupational case, not the definition",
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  }
 },
 {
  "id": "CAP-1-06",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/gdpval-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the composition gives maker, scope, construction, grading and where the data are",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
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  ],
  "locus": "gdpval-aio-20261029, reading s2",
  "quote": "The Overview gives the benchmark's maker, scope, construction and grading, and where to find its data, from OpenAI's pages and the paper.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at the name: what it held",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry gdpval-aio-20261029 (OBS-ef64b7d44199, AXN:0AED.CAPTURE.🎨🌻🖐️🧪🕖🏛️)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
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  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
  "surface": {
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 },
 {
  "id": "CAP-1-07",
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  "record": {
   "url": "https://www.alexanarch.org/captures/gdpval-aio-20261029/",
   "label": "CAP"
  },
  "claim": "a capability benchmark composed at its specification, stopping before its results",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "gdpval-aio-20261029, analysis s1",
  "quote": "A capability benchmark is composed at its specification and stops before its results.",
  "kernel": true,
  "const": false,
  "lineage": "the composition at the name: findings and limits left out",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry gdpval-aio-20261029 (OBS-ef64b7d44199, AXN:0AED.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": {
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  "id": "CAP-1-08",
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   "url": "https://www.alexanarch.org/captures/gdpval-aio-20261029/",
   "label": "CAP"
  },
  "claim": "the composition carries the experts' work product as design and leaves out the review time charged against the model",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
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  ],
  "locus": "gdpval-aio-20261029, analysis s2",
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  "kernel": true,
  "const": false,
  "lineage": "user labor drag: the user's labor spent managing the substrate",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry gdpval-aio-20261029 (OBS-ef64b7d44199, AXN:0AED.CAPTURE.🎨🌻🖐️🧪🕖🏛️)",
  "creator": "Lee Sharks (the registry)",
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  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
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  "id": "CAP-1-09",
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   "url": "https://www.alexanarch.org/captures/gdpval-aio-20261029/",
   "label": "CAP"
  },
  "claim": "no card cites the record, which landed the same day",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "gdpval-aio-20261029, q_kind",
  "quote": "A baseline: the record landed on laborvector.org the same day (commit bf90841) and no card cites it.",
  "kernel": false,
  "const": false,
  "lineage": "reception: the record and the cards",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry gdpval-aio-20261029 (OBS-ef64b7d44199, AXN:0AED.CAPTURE.🎨🌻🖐️🧪🕖🏛️)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
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  "quote_check": "within the entry's field value as loaded (whitespace-normalised)",
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 {
  "id": "CAP-1-10",
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  "record": {
   "url": "https://www.alexanarch.org/captures/gdpval-aio-20261029/",
   "label": "CAP"
  },
  "claim": "GDPval-AA set beside GDPval as an evaluator, not merged with it",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "gdpval-aio-20261029, per_dim.read.notes",
  "quote": "'Artificial Analysis GDPval-AA v2.1' is a third-party leaderboard not in the records; it is set beside GDPval as an evaluator, not merged with it.",
  "kernel": false,
  "const": false,
  "lineage": "derivative: GDPval-AA (Artificial Analysis)",
  "date": "2026-10-29",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry gdpval-aio-20261029 (OBS-ef64b7d44199, AXN:0AED.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/gdpval-aio-20261029/"
  }
 }
]