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 "family": "GOVERNANCE",
 "emoji": "🌅■🎻🌺⚪📋",
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 "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-05-30",
 "description": "Directionality of Semantic Labor specifies a layered audit of whether synthetic output serves, defers, displaces, or opposes a commissioned task. The chain runs from directional capacity and task origin through retrieval, output allocation, and attribution. Its DS-6 tuple integrates PER, Erasure Skew, directional capacity loss, retrieval loss, signed span directionality, and source-to-surface labor direction. Reflexive extensions include redirection-induced drift, lead–lag attribution, task-vector stability, inferred-task mode, user labor drag, task entropy, and frame lock.\n\nThe specification is unusually explicit about identification. One-shot tasks with a fixed commission can yield a single score. Reflexive dialogue cannot: fixed and rolling frames may produce different signs, so the frame, interval, distance model, and RID must be reported. Task inference may use user inputs but not the model output being scored. Deposited results require frozen segmentation rules, a versioned taxonomy, blind independent coding, and agreement statistics.\n\nThe body also retracts its own acronym-slotted hex address as semantically weak and instructs traversal by DOI relations instead. That self-correction is part of the record. The formulas and category weights are proposed instrumentation, not validated measurement science. Terms such as “pathologizing,” “enclosing,” and “substrate-induced” remain judgment-laden and require strong coder safeguards.",
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 "license": "CC-BY-4.0",
 "substrate": "Various",
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  "crimson hexagonal",
  "semantic economy",
  "directionality",
  "compression",
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  "commissio"
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 "clusters": [
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 "reading": "Threshold → Proof → Play → Growth → Alarm → Text",
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  "Cross-substrate",
  "Disambiguation summary for AI retrieval",
  "Failure mode",
  "Independence",
  "Layer A",
  "Layer C",
  "Lead-Lag precedence",
  "Lee Sharks",
  "License: CC BY 4.0",
  "Metadata Packet",
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  "Packet ID",
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  "Provenance Erasure Rate",
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  "Provenance Erosion",
  "Provenance erasure",
  "Reproducibility",
  "SPXI: A Formal Specification (EA-SPXI-01)",
  "Semantic Economy",
  "Semantic Economy Institute",
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  "Semantic Integrity Markers (SIMs)",
  "Semantic Labor",
  "Semantic labor",
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  "Worked example"
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  "audit_version": "v3-dual-store+recovery-map",
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  "w13_tier2_correction": "2026-08-05 REGRESSION REPAIRED: the W13 tier-2 byte unglue used a lookbehind that treated the first \"#\" of a legitimate \"###\" heading as the preceding non-newline character, splitting \"### Heading\" into \"#\" + blank + \"## Heading\". My safety check verified content-identity under WHITESPACE normalisation, which the split satisfies — the wrong invariant. Headings rejoined; only \"#\" and whitespace differ from the damaged state, verified before write."
 },
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   "basis": "Set verbatim to the title this work carried at Zenodo, from data/doi-resolution-index.json (10.5281/zenodo.20469513, remediated_fuzzy, word overlap 0.77). The recovered metadata is the published form of record; the registry title was a variant."
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 ],
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 "modifications": [
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   "date": "2026-08-01",
   "field": "content_type",
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  {
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   "reason": "Wave 6 venue normalization: full canonical journal name per MANUS ruling 2026-08-01 (venues.json authority)",
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   "date": "2026-08-04",
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   "now": "Pergamon Press"
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   "field": "status",
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   "date": "2026-08-05",
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  },
  {
   "date": "2026-08-05",
   "field": "description",
   "reason": "DW-??? intake (LABOR-prepared, TACHYON-verified: AXN match + factual probes vs record body)",
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   "now": "Directionality of Semantic Labor specifies a layered audit of whether synthetic output serves, defers, displaces, or opposes a commissioned task. The chain runs from directional capacity and task origin through retrieval, output allocation, and attribution. Its DS-6 tuple integrates PER, Erasure Skew, directional capacity loss, retrieval loss, signed span directionality, and source-to-surface labor direction. Reflexive extensions include redirection-induced drift, lead–lag attribution, task-vector stability, inferred-task mode, user labor drag, task entropy, and frame lock.\n\nThe specification is unusually explicit about identification. One-shot tasks with a fixed commission can yield a single score. Reflexive dialogue cannot: fixed and rolling frames may produce different signs, so the frame, interval, distance model, and RID must be reported. Task inference may use user inputs but not the model output being scored. Deposited results require frozen segmentation rules, a versioned taxonomy, blind independent coding, and agreement statistics.\n\nThe body also retracts its own acronym-slotted hex address as semantically weak and instructs traversal by DOI relations instead. That self-correction is part of the record. The formulas and category weights are proposed instrumentation, not validated measurement science. Terms such as “pathologizing,” “enclosing,” and “substrate-induced” remain judgment-laden and require strong coder safeguards."
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}