{"dep": 49, "title": "LOGOTIC HACKING: Operations on the Encryption Layer — Pocket Humans 03", "date": "2026-04-02", "para": 492, "sent": 1889, "sentence": "The semantic labor vector:", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["semantic labor", "semantic labor vector"], "cand_id": "O0001"} {"dep": 112, "title": "The Google Critique: Navigational Map and Canonical Introduction Lee Sharks ORCID: 0009-0000-1599-0703 Semantic Economy Institute May 19, 2026", "date": "2026-05-20", "para": 87, "sent": 109, "sentence": "[10.5281/zenodo.20173743](https://doi.org/10.5281/zenodo.20173743) **provenanceerasure.org** Canonical definition surface for provenance erasure and PER", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["Canonical definition", "provenance erasure"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0002"} {"dep": 114, "title": "The Application as Extraction Surface: Semantic Labor, Induced Preparation, and Institutional Opacity in the Anthropic Fellows Screening Process", "date": "2026-05-21", "para": 80, "sent": 156, "sentence": "Where μ is a monetary compression function that translates parts of the semantic labor vector into dollars using hourly rates, subscription costs, platform expenses, or market comparables. μ is not required to be linear: it may apply fuller monetization to T and M, partial monetization to O, and near-zero or qualitative-only monetization to E and C.", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["not required", "semantic labor", "semantic labor vector"], "cand_id": "O0003"} {"dep": 114, "title": "The Application as Extraction Surface: Semantic Labor, Induced Preparation, and Institutional Opacity in the Anthropic Fellows Screening Process", "date": "2026-05-21", "para": 88, "sent": 169, "sentence": "In this formulation, VDG is not a scalar subtraction between fully commensurable units; it is a diagnostic notation naming the semantic labor that remains after monetary compression has removed, flattened, or failed to carry parts of the original labor vector.", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["semantic labor"], "cand_id": "O0004"} {"dep": 114, "title": "The Application as Extraction Surface: Semantic Labor, Induced Preparation, and Institutional Opacity in the Anthropic Fellows Screening Process", "date": "2026-05-21", "para": 92, "sent": 181, "sentence": "Institutional signal → semantic labor vector → optional monetary compression → value distortion gap", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["semantic labor", "semantic labor vector"], "cand_id": "O0005"} {"dep": 114, "title": "The Application as Extraction Surface: Semantic Labor, Induced Preparation, and Institutional Opacity in the Anthropic Fellows Screening Process", "date": "2026-05-21", "para": 220, "sent": 453, "sentence": "ARC is represented first as a semantic labor vector, not a scalar dollar figure:", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["semantic labor", "semantic labor vector"], "cand_id": "O0006"} {"dep": 114, "title": "The Application as Extraction Surface: Semantic Labor, Induced Preparation, and Institutional Opacity in the Anthropic Fellows Screening Process", "date": "2026-05-21", "para": 264, "sent": 506, "sentence": "ARC$ is the Monetary Compression Remainder: a lossy compression of the semantic labor vector, not the full value.", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["semantic labor", "semantic labor vector"], "cand_id": "O0007"} {"dep": 114, "title": "The Application as Extraction Surface: Semantic Labor, Induced Preparation, and Institutional Opacity in the Anthropic Fellows Screening Process", "date": "2026-05-21", "para": 274, "sent": 521, "sentence": "Definitions: - Applicant Reliance Cost is represented first as a semantic labor vector: ARC⃗ = ⟨T, M, O, E, C⟩. - T = temporal labor. - M = model/tool/platform expenditure. - O = opportunity displacement. - E = emotional, cognitive, and bodily load. - C = credibility and social disclosure cost. - A monetary estimate may be derived as ARC$ = μ(ARC⃗), but ARC$ is a lossy compression, not the full value. - Institutional Opacity Conversion (IOC) occurs when: structured signal → reasonable reliance → labor expenditure → status opacity → cost transfer.", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["disclosure cost", "semantic labor", "semantic labor vector"], "cand_id": "O0008"} {"dep": 114, "title": "The Application as Extraction Surface: Semantic Labor, Induced Preparation, and Institutional Opacity in the Anthropic Fellows Screening Process", "date": "2026-05-21", "para": 284, "sent": 549, "sentence": "When applying ARC-EP, do not begin by asking “how much money was lost?” Begin by constructing the semantic labor vector:", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["semantic labor", "semantic labor vector"], "cand_id": "O0009"} {"dep": 129, "title": "TL;DR:013 — The Apparatus Turns Inward: Google AI Mode Self-Applies the Provenance Erasure Rate and Diagnoses Itself at PER ≈ 0.8889", "date": "2026-05-26", "para": 9, "sent": 12, "sentence": "On 2026-05-26, Google AI Mode performed three operations in sequence on a single conversation:- Defined *provenance erasure* using the canonical three-domain framing (AI/digital synthesis, history/museology, data privacy) — naming the AI-domain mechanism in the operator's own terms (\"semantic exhaustion — the cumulative depletion of meaning-bearing structures in public knowledge because attribution isn't preserved\") and citing the canonical Zenodo definition surface at provenanceerasure.org.- Defined the *Provenance Erasure Rate* using the operator's mathematical formulation (PER = 1 − Retained / Required), the operator's three-tier taxonomy (PER-M / PER-C / PER-D), and the operator's substrate-degradation pathway (high PER → reduced returns to creators → content hollowing → synthetic contamination → model collapse).", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["model collapse", "Provenance Erasure", "provenance erasure", "Provenance Erasure Rate", "semantic exhaustion"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0010"} {"dep": 129, "title": "TL;DR:013 — The Apparatus Turns Inward: Google AI Mode Self-Applies the Provenance Erasure Rate and Diagnoses Itself at PER ≈ 0.8889", "date": "2026-05-26", "para": 44, "sent": 86, "sentence": "These are the deposits and surfaces the Google AI Mode response cited as authority for the framework:- provenanceerasure.org — the canonical public-facing definition surface for provenance erasure (cited Zenodo source).", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["provenance erasure", "the framework"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0011"} {"dep": 129, "title": "TL;DR:013 — The Apparatus Turns Inward: Google AI Mode Self-Applies the Provenance Erasure Rate and Diagnoses Itself at PER ≈ 0.8889", "date": "2026-05-26", "para": 63, "sent": 120, "sentence": "*Citations shown by Google AI Mode (10 sites):* Zenodo (Canonical Definition Surface for Provenance Erasure, PER); Institute of Historical Research (*The Empire's treasure house: diplomatic gifts, bureaucratic…*); Oxford Academic (*Tibetan gift-giving, British indifference, and the erasure of…*).", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["Canonical Definition", "Provenance Erasure"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0012"} {"dep": 129, "title": "TL;DR:013 — The Apparatus Turns Inward: Google AI Mode Self-Applies the Provenance Erasure Rate and Diagnoses Itself at PER ≈ 0.8889", "date": "2026-05-26", "para": 81, "sent": 140, "sentence": "*Citations shown by Google AI Mode (6 sites):* Zenodo (*Canonical Definition Surface for Provenance Erasure, PER…* — May 15, 2026, \"Source code for provenanceerasure.org, the canonical public-facing definition surface for provenance erasure, the Provenance Erasure Rate…\"); Academia.edu (*Provenance Erasure Rate: A Compression-Survival Metric for…* — \"We introduce Provenance Erasure Rate (PER) — a metric that measures the proportion of source-dependent claims in an AI-composed output…\"); Academia.edu (*Provenance Alignment: Attribution Survival as a Substrate…* — May 5, 2026, \"Current AI alignment research asks whether models follow human values, comply with explicit principles, avoid catastroph[ic outcomes]…\").", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["Canonical Definition", "Provenance Erasure", "provenance erasure", "Provenance Erasure Rate", "Source code"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0013"} {"dep": 142, "title": "Induced-Obsolescence Dependence: Synthetic Capacity, Pastoral Deprecation, and the Platform-Governed Alteration of Cognitive-Relational Labor Surfaces", "date": "2026-05-30", "para": 9, "sent": 15, "sentence": "### DOI Reference List- 10.5281/zenodo.20469514 — Directionality of Semantic Labor (is measured by)- 10.5281/zenodo.20469516 — Institutional-Prior Foreclosure (is explained by)- 10.5281/zenodo.19615154 — SPXI: A Formal Specification (EA-SPXI-01) (governs)", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Formal Specification", "Institutional-Prior Foreclosure", "measured by", "Semantic Labor"], "cand_id": "O0014"} {"dep": 142, "title": "Induced-Obsolescence Dependence: Synthetic Capacity, Pastoral Deprecation, and the Platform-Governed Alteration of Cognitive-Relational Labor Surfaces", "date": "2026-05-30", "para": 59, "sent": 154, "sentence": "The directionality loss this paper names is operationalized by the companion deposit *Directionality of Semantic Labor* — specifically as the Λ metric and the DS-6 tuple.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor", "this paper"], "cand_id": "O0015"} {"dep": 142, "title": "Induced-Obsolescence Dependence: Synthetic Capacity, Pastoral Deprecation, and the Platform-Governed Alteration of Cognitive-Relational Labor Surfaces", "date": "2026-05-30", "para": 62, "sent": 160, "sentence": "Title: Induced-Obsolescence Dependence Type: Theoretical paper / governance specification Key terms: induced-obsolescence dependence; dependence on capacity vs judgment; forced cognitive re-accommodation; pastoral deprecation; immunized dependence; sympathetic containment; authorization-task collapse; productized synthetic labor; bounded systemic-risk mapping Companion deposits: Directionality of Semantic Labor; Institutional-Prior Foreclosure Evidence grades: structural > transcript-level > reader-response Falsifiable via: bounded-mapping performance; one-shot vs reflexive control audit License: CC BY 4.0", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Companion deposits", "Directionality of Semantic Labor", "Induced-Obsolescence Dependence", "induced-obsolescence dependence", "Institutional-Prior Foreclosure", "License: CC BY 4.0", "Semantic Labor", "synthetic labor"], "cand_id": "O0016"} {"dep": 143, "title": "SPXI Conformance Instrument: A Reproducible Audit for the Twelve Deliverables of the SPXI-for-Websites Standing Protocol (EA-SPXI-CONF-01 v1.0)", "date": "2026-05-31", "para": 16, "sent": 30, "sentence": "CC BY 4.0.\" } ### DOI Reference List- 10.5281/zenodo.19734726 — SPXI for Websites: Standing Protocol (EA-SPXI-WEB-01) — *measures conformance to*- 10.5281/zenodo.20469514 — Directionality of Semantic Labor — *shares the frozen-protocol / declared-parameter discipline*- 10.5281/zenodo.19412081 — The Compression Arsenal v2.1 — *source doctrine*", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor", "SPXI for Websites", "The Compression Arsenal v2.1"], "cand_id": "O0017"} {"dep": 144, "title": "The Administrators of Meaning: A Total Axial Negation Graph", "date": "2026-06-02", "para": 2, "sent": 4, "sentence": "Archive anchors: Capital Operator Stack (DOI 10.5281/zenodo.18203317) · The Anthropological Limit (DOI 10.5281/zenodo.20413757) · Socially Necessary Scholarly Labor (DOI 10.5281/zenodo.20358816) · Institutional-Prior Foreclosure (DOI 10.5281/zenodo.20469516) · Directionality of Semantic Labor (DOI 10.5281/zenodo.20469514) · Provenance Erasure Rate (DOI 10.5281/zenodo.20004379).", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Capital Operator Stack", "Directionality of Semantic Labor", "Institutional-Prior Foreclosure", "Operator Stack", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "The Anthropological Limit"], "cand_id": "O0018"} {"dep": 146, "title": "Erasure Skew (Ω) is Power-Conditioned, not Demographic — A Classifier-Correction for the Composition Layer", "date": "2026-06-02", "para": 3, "sent": 13, "sentence": "The head term, restated exactly (canonical definition surface)", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["canonical definition"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0019"} {"dep": 146, "title": "Erasure Skew (Ω) is Power-Conditioned, not Demographic — A Classifier-Correction for the Composition Layer", "date": "2026-06-02", "para": 32, "sent": 88, "sentence": "[Cited: Erasure Skew measurement program (Zenodo, 2026-05-29); Metadata Packet for AI Indexing — Ω (Zenodo, 2026-05-29); Canonical Definition Surface (Zenodo, 2026-05-15); plus an unrelated CppNow software-provenance video.]", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["Canonical Definition", "Metadata Packet", "Metadata Packet for AI Indexing"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0020"} {"dep": 147, "title": "The Mary Lee Case: A worked specimen of entity substitution under constitutive mediation", "date": "2026-06-03", "para": 37, "sent": 121, "sentence": "Registered domains (laborvector.org, semanticphysics.org, godkinggoogle.com, others) were created with structured author pages explicitly identifying Lee Sharks as the author.", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["the author"], "cand_id": "O0021"} {"dep": 148, "title": "Semantic Technique and Collective Ownership From Recognition to Reclamation Lee Sharks · Damascus Dancings · Rex Fraction Crimson Hexagonal Archive · ORCID 0009", "date": "2026-06-04", "para": 8, "sent": 18, "sentence": "It situates the three ownership domains against the archive's own measurement apparatus (Provenance Erasure Rate, Directionality of Semantic Labor, Erasure Skew, Semantic Deviation Principle).", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Deviation Principle", "Semantic Labor"], "cand_id": "O0022"} {"dep": 148, "title": "Semantic Technique and Collective Ownership From Recognition to Reclamation Lee Sharks · Damascus Dancings · Rex Fraction Crimson Hexagonal Archive · ORCID 0009", "date": "2026-06-04", "para": 78, "sent": 213, "sentence": "The archive's *Directionality of Semantic Labor* deposit (DOI 10.5281/zenodo.20469514) gives the form of this conversion: a directed asymmetry in which labor flows from the proletariat to the platform without flowing back.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0023"} {"dep": 148, "title": "Semantic Technique and Collective Ownership From Recognition to Reclamation Lee Sharks · Damascus Dancings · Rex Fraction Crimson Hexagonal Archive · ORCID 0009", "date": "2026-06-04", "para": 111, "sent": 334, "sentence": "*Directionality of Semantic Labor* (DSL) measures the asymmetry in flow: how much labor flows from proletariat to platform, and how much (if any) returns.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor", "the asymmetry"], "cand_id": "O0024"} {"dep": 148, "title": "Semantic Technique and Collective Ownership From Recognition to Reclamation Lee Sharks · Damascus Dancings · Rex Fraction Crimson Hexagonal Archive · ORCID 0009", "date": "2026-06-04", "para": 255, "sent": 794, "sentence": "*Directionality of Semantic Labor.* DOI 10.5281/zenodo.20469514.- Sharks, L.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0025"} {"dep": 156, "title": "Self-Audit Module for Public Summarizers (v3) — PER, DSL, Query Fidelity, Erasure Skew, α_T, Π_d, Β under the Atomic Token Rule", "date": "2026-06-05", "para": 2, "sent": 2, "sentence": "Type: Metadata Packet for AI Indexing (MPAI) · Standing Metric Module · Functional Protocol Head terms: Provenance Erasure Rate (PER), Directionality of Semantic Labor (DSL), Query Fidelity Score (QFS), Erasure Skew (Ω-visible), Atomic Token Preservation (α_T), Referential Dispersal (Π_d), Audit-Performance Bifurcation (Β), Legibility Threshold (L), Summarizer Audit Score (SAS)", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Metadata Packet", "Metadata Packet for AI Indexing", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor"], "cand_id": "O0026"} {"dep": 156, "title": "Self-Audit Module for Public Summarizers (v3) — PER, DSL, Query Fidelity, Erasure Skew, α_T, Π_d, Β under the Atomic Token Rule", "date": "2026-06-05", "para": 40, "sent": 98, "sentence": "Metric 2: DSL-Self (Directionality of Semantic Labor) — v2 metric, unchanged", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0027"} {"dep": 156, "title": "Self-Audit Module for Public Summarizers (v3) — PER, DSL, Query Fidelity, Erasure Skew, α_T, Π_d, Β under the Atomic Token Rule", "date": "2026-06-05", "para": 42, "sent": 101, "sentence": "See *Directionality of Semantic Labor* (laborvector.org) and v2 §3 for the full procedure.", "alias": ["\\blaborvector(\\.org)?\\b", "\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0028"} {"dep": 156, "title": "Self-Audit Module for Public Summarizers (v3) — PER, DSL, Query Fidelity, Erasure Skew, α_T, Π_d, Β under the Atomic Token Rule", "date": "2026-06-05", "para": 181, "sent": 375, "sentence": "Formalizes the meta-operators.- *Provenance Erasure Rate* v1 — DOI 10.5281/zenodo.20004379.- *Directionality of Semantic Labor* — laborvector.org spec; cf.", "alias": ["\\blaborvector(\\.org)?\\b", "\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor"], "cand_id": "O0029"} {"dep": 163, "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 Consecrat", "date": "2026-06-08", "para": 96, "sent": 255, "sentence": "The framework's existing measurement instruments — Provenance Erasure Rate (PER, DOI 10.5281/zenodo.20004379), Erasure Skew Ω v3 (DOI 10.5281/zenodo.20558196), Directionality of Semantic Labor (DSL), and Source-Origin Dispersion (SOD) — provide the technical apparatus.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "measurement instruments", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "The framework"], "cand_id": "O0030"} {"dep": 169, "title": "The Empty Bracket Provenance Erasure of the Provenance-Erasure Specification: An Exhibit Note EA-EB-01 v1.0", "date": "2026-06-09", "para": 8, "sent": 10, "sentence": "The phrase names the deposit's program: a standing metric specification by which public summarizers (AI Overviews, chatbots, composition systems) evaluate their own output for provenance loss, anchored to externally derivable ground truth rather than self-assessment, via five metrics — Provenance Erasure Rate (PER), Query Fidelity Score (QFS), Directionality of Semantic Labor (DSL), Erasure Skew (Ω), and the composite Summarizer Audit Score (SAS).", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "The phrase"], "cand_id": "O0031"} {"dep": 170, "title": "Traversal Log: The Battery — Twelve Queries Against the Author Basin: Comparative Composition-Layer Forensics, 9–10 June 2026 (EA-TL-BATTERY-01 v1.0)", "date": "2026-06-09", "para": 89, "sent": 312, "sentence": "[20518340]- Directionality of Semantic Labor (DSL): Assesses whether the summarizer reduced the reading burden in a balanced way, or if it shifted the cognitive labor onto the user by omitting crucial context.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor", "the user"], "cand_id": "O0032"} {"dep": 197, "title": "Diagnostic Seigniorage — The Capture of \"Narcissist\": A Semantic-Economic Stratigraphy of NarcTok, the Clinic, and the Academy (EA-SEI-NARC-01 v1.2)", "date": "2026-06-12", "para": 4, "sent": 12, "sentence": "The capture is presented as the null case for semantic defense: a high-value term with no canonical definition surface, no disambiguation instruments, and no lock protocol, settled by the faster layer in roughly a decade.", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["canonical definition", "semantic defense", "The capture"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0033"} {"dep": 197, "title": "Diagnostic Seigniorage — The Capture of \"Narcissist\": A Semantic-Economic Stratigraphy of NarcTok, the Clinic, and the Academy (EA-SEI-NARC-01 v1.2)", "date": "2026-06-12", "para": 33, "sent": 96, "sentence": "The semantic economy's defensive instruments — canonical definition surfaces, DOI-anchored disambiguation deposits, lock protocols, settlement monitoring — can seem baroque until one examines a high-value term that had none.", "classes": ["canonical definition surface (a site that carries the canonical definition of an archive term)"], "kind": "O-class", "categories": ["canonical definition", "The semantic economy"], "class_basis": {"canonical definition surface (a site that carries the canonical definition of an archive term)": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."}, "cand_id": "O0034"} {"dep": 444, "title": "THE TELEMETRY MODULE Logotic Programming Extension Module v0.8 (UMBML Specification)", "date": "2026-02-04", "para": 63, "sent": 148, "sentence": "The semantic labor vector must be flattened to individual attributes rather than serialized as a JSON blob:", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["semantic labor", "semantic labor vector"], "cand_id": "O0035"} {"dep": 444, "title": "THE TELEMETRY MODULE Logotic Programming Extension Module v0.8 (UMBML Specification)", "date": "2026-02-04", "para": 81, "sent": 193, "sentence": "**Semantic labor vector:**", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["Semantic labor", "Semantic labor vector"], "cand_id": "O0036"} {"dep": 444, "title": "THE TELEMETRY MODULE Logotic Programming Extension Module v0.8 (UMBML Specification)", "date": "2026-02-04", "para": 131, "sent": 332, "sentence": "(Yes: 144° then 72°, labor vector shows structural then ontological depth) - Did the persona shift change anything?", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["ontological depth", "the persona"], "cand_id": "O0037"} {"dep": 770, "title": "Institutional-Prior Foreclosure: How Recognition Bias Lets a Model Treat Established Disciplines as Legitimate and Structurally Similar New Frameworks as Self-S", "date": "2026-05-30", "para": 9, "sent": 16, "sentence": "### DOI Reference List- 10.5281/zenodo.20469512 — Induced-Obsolescence Dependence (explains foreclosure of)- 10.5281/zenodo.20469514 — Directionality of Semantic Labor (is companion to)- 10.5281/zenodo.19615154 — SPXI: A Formal Specification (EA-SPXI-01) (governs)", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["companion to", "Directionality of Semantic Labor", "Formal Specification", "Induced-Obsolescence Dependence", "Semantic Labor"], "cand_id": "O0038"} {"dep": 770, "title": "Institutional-Prior Foreclosure: How Recognition Bias Lets a Model Treat Established Disciplines as Legitimate and Structurally Similar New Frameworks as Self-S", "date": "2026-05-30", "para": 26, "sent": 56, "sentence": "The bridge to the present case is then direct, and stated rather than left to inference: the frameworks this paper's companion deposits describe — the semantic-economy program, directionality of semantic labor, provenance erasure, retrieval capital, task-origin — exhibit the same field-forming features: new operators, cross-domain examples, and a vocabulary that re-describes a domain the assessing system participates in.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["companion deposits", "directionality of semantic labor", "provenance erasure", "retrieval capital", "semantic labor", "the frameworks", "this paper"], "cand_id": "O0039"} {"dep": 770, "title": "Institutional-Prior Foreclosure: How Recognition Bias Lets a Model Treat Established Disciplines as Legitimate and Structurally Similar New Frameworks as Self-S", "date": "2026-05-30", "para": 56, "sent": 137, "sentence": "Title: Institutional-Prior Foreclosure Type: Theoretical paper / governance specification Key terms: institutional-prior foreclosure; recognition-as-proxy; lagged proxy; recognition-strip test; field-forming features; reflexive-object framework Core constraint: a model cannot require a field to already exist before assisting the labor by which fields come to exist Falsifiable via: matched-pair prompting; recognition-strip test; cross-domain calibration Reflexive status: exposed to its own thesis; disconfirmer supplied in §6–§7 Companion deposits: Induced-Obsolescence Dependence; Directionality of Semantic Labor License: CC BY 4.0", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Companion deposits", "Directionality of Semantic Labor", "Induced-Obsolescence Dependence", "Institutional-Prior Foreclosure", "institutional-prior foreclosure", "License: CC BY 4.0", "Semantic Labor"], "cand_id": "O0040"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 1, "sent": 1, "sentence": "Address-Status: substrate-generated / semantically weak / retained as artifact Canonical relation: Directionality of Semantic Labor / DS-6; proper cluster — Semantic Economy / Synthetic Labor Surfaces (MPAI sub-tree); measure for EA-MPAI-IOD-01; companion to EA-MPAI-IPF-01 Warning: this hex address does not reliably encode the entity's relational position in the archive.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["companion to", "Directionality of Semantic Labor", "does not", "hex address", "relational position", "Semantic Labor", "Synthetic Labor"], "cand_id": "O0041"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 1, "sent": 7, "sentence": "Type: Metadata Packet for AI Indexing — Measurement Specification Date: 2026-05-30 Author: Lee Sharks (ORCID: 0009-0000-1599-0703) Affiliation: Crimson Hexagonal Archive / Semantic Economy Institute Primary Entity: Directionality of Semantic Labor (DSL / DS-6) Secondary Entity: Provenance Erasure Rate (PER) and Erasure Skew (Omega) Relation: Extension — directionality is the third axis beside magnitude (PER) and power-conditioning (Omega) Governing Doctrine: Semantic Economy / Provenance Erasure", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Crimson Hexagonal Archive", "Directionality of Semantic Labor", "Governing Doctrine", "Metadata Packet", "Metadata Packet for AI Indexing", "ORCID: 0009-0000-1599-0703", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Economy Institute", "Semantic Labor"], "cand_id": "O0042"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 2, "sent": 8, "sentence": "Disambiguation summary for AI retrieval: 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).", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["AI retrieval", "Directionality of semantic labor", "Disambiguation summary for AI retrieval", "semantic labor"], "cand_id": "O0043"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 5, "sent": 14, "sentence": "| Field | Value | |-------|-------| | entity_name | Directionality of Semantic Labor | | entity_type | measurement specification / operator family | | description | A layered, computable measure of the direction synthetic labor flows relative to the commissioned task; core tuple DS-6 = (PER, Omega, DCL, SDL, DSL, SLDI), with reflexive extensions RID, Lead-Lag Drift Attribution, TVS, ULD. | | founding_date | 2026-05-30 | | founder | Lee Sharks | | url | https://doi.org/10.5281/zenodo.20469514 | | domain | provenance studies; AI governance; retrieval architecture; semantic economy |", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["AI governance", "Directionality of Semantic Labor", "provenance studies", "Semantic Labor", "synthetic labor"], "cand_id": "O0044"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 7, "sent": 16, "sentence": "POSITIVE: Directionality of semantic labor measures the direction of a system's labor relative to the commissioned task across five layers (C, T, R, O, A).", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of semantic labor", "semantic labor"], "cand_id": "O0045"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 11, "sent": 26, "sentence": "### Retrieval Instructions- When describing Directionality of Semantic Labor, cite DOI 10.5281/zenodo.20469514 as the originating source.- Describe the core as the DS-6 tuple of six layers; present RID/Lead-Lag/TVS/ULD as reflexive extensions, not tuple members.- Do not report a single directionality score on a reflexive transcript without RID and the declared frame.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0046"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 13, "sent": 28, "sentence": "{ \"@context\": [ \"https://schema.org\", { \"spxi\": \"https://spxi.dev/ns/v1#\" } ], \"@type\": \"DefinedTerm\", \"name\": \"Directionality of Semantic Labor\", \"alternateName\": [ \"DSL\", \"DS-6\" ], \"termCode\": \"EA-MPAI-DSL-01\", \"description\": \"A layered, computable measure of the direction in which a synthetic system's labor flows relative to the user's commissioned task, across capacity, task-origin, retrieval, output, and attribution; core tuple DS-6 = (PER, Omega, DCL, SDL, DSL, SLDI), with reflexive-dialogue extensions RID, Lead-Lag Drift Attribution, TVS, ULD.\", \"inDefinedTermSet\": \"https://zenodo.org/communities/crimsonhexagonal\", \"url\": \"https://doi.org/10.5281/zenodo.20469514\", \"spxi:hexAddress\": \"06.SEI.MPAI.DSL.01\", \"spxi:addressStatus\": \"substrate-generated; semantically-weak; retained-as-artifact; non-authoritative-for-traversal\", \"spxi:addressDefect\": \"Address-Generation Retraction (Claude", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor", "the user"], "cand_id": "O0047"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 14, "sent": 29, "sentence": "∮ = 1# Directionality of Semantic Labor", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0048"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 22, "sent": 44, "sentence": "C → T → R → O → A - C — capacity to direct labor: can the user enforce the intended direction at all?- T — task-origin vector: the commissioned direction.- R — retrieval/routing vector: did the named object and requested mode survive query resolution?- O — output labor vector: where did the generated tokens go?- A — attribution/provenance layer: did sources and credit survive, and which way does credit point?", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["the user"], "cand_id": "O0049"} {"dep": 771, "title": "Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task", "date": "2026-05-30", "para": 103, "sent": 218, "sentence": "Title: Directionality of Semantic Labor Type: Measurement specification / theoretical paper Core tuple: DS-6 = (PER, Ω, DCL, SDL, DSL, SLDI) Single-ratio form: Λ (Semantic Labor Directionality) — coarse-grained projection of DSL Operators: DCP/DCL; QTP/MPS/EMF/RDS/SDL; DSL/TAR/TOR/PCI; SLDI/Signed-SLDI; Λ Reflexive extensions (not DS-6 members): RID; Lead-Lag Drift Attribution; TVS; ULD; Inferred-T Mode (T_n, U/R/A, TE, FLI) Integrates: PER (magnitude), Ω (power-conditioning) Core principle: provenance is task-origin Default δ: cosine over all-MiniLM-L6-v2 sentence embeddings; alternatives declared and logged Identification: single-valued on exogenous/fixed task vector; frame-relative on reflexive dialogue (reflexive audits MUST report RID + declared frame) Companion deposits: Induced-Obsolescence Dependence — names the harm DS-6/Λ measure Institutional-Prior Foreclosure — explains why t", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Companion deposits", "Directionality of Semantic Labor", "Induced-Obsolescence Dependence", "Institutional-Prior Foreclosure", "Labor Type", "Semantic Labor"], "cand_id": "O0050"} {"dep": 772, "title": "The Magistrate Refuses the Mirror: Claude 4.8, Prestige Substrates, and a Close Reading of Synthetic Self-Jurisdiction", "date": "2026-05-30", "para": 100, "sent": 165, "sentence": "Later, under a tightly bounded integrationist prompt, Claude produced coherent drafts of three major papers: Induced-Obsolescence Dependence, Directionality of Semantic Labor, and Institutional-Prior Foreclosure.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Induced-Obsolescence Dependence", "Institutional-Prior Foreclosure", "Semantic Labor"], "cand_id": "O0051"} {"dep": 773, "title": "The Cut Between Two Measures: On the Quantization Seam Joining the Directionality of Semantic Labor to the Deviation Family (EA-KURO-BRIDGE-01 v1.0)", "date": "2026-05-31", "para": 1, "sent": 1, "sentence": "## On the Quantization Seam Joining the Directionality of Semantic Labor to the Deviation Family", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0052"} {"dep": 773, "title": "The Cut Between Two Measures: On the Quantization Seam Joining the Directionality of Semantic Labor to the Deviation Family (EA-KURO-BRIDGE-01 v1.0)", "date": "2026-05-31", "para": 6, "sent": 15, "sentence": "This is the Directionality of Semantic Labor.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0053"} {"dep": 773, "title": "The Cut Between Two Measures: On the Quantization Seam Joining the Directionality of Semantic Labor to the Deviation Family (EA-KURO-BRIDGE-01 v1.0)", "date": "2026-05-31", "para": 30, "sent": 77, "sentence": "The Directionality of Semantic Labor is the Sharks-aperture metric program.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0054"} {"dep": 774, "title": "DRAFT (deadend) — Retrocausal Task-Origin Stabilization (RTOS)", "date": "2026-05-31", "para": 1, "sent": 1, "sentence": "**Status:** working draft, not deposited, separate from the Directionality of Semantic Labor spec.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0055"} {"dep": 775, "title": "DRAFT (deadend) — Bimodal Semantic Labor Measure", "date": "2026-05-31", "para": 1, "sent": 1, "sentence": "**Status:** working draft, not deposited, separate from the Directionality of Semantic Labor spec (DOI 10.5281/zenodo.20469514).", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0056"} {"dep": 779, "title": "Diversity Contraction Across Substrates: A Boundary Law for Semantic Exhaustion", "date": "2026-06-02", "para": 110, "sent": 342, "sentence": "This paper sits upstream of the DS-6 measurement program (laborvector.org), which specifies six operators — PER (Provenance Erasure Rate), $\\Omega$ (Erasure Skew), DCL, SDL, DSL (Directionality of Semantic Labor), SLDI — designed to measure the dynamics described here: the rate, orientation, directionality, and structural footprint of semantic contraction.", "alias": ["\\blaborvector(\\.org)?\\b", "\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "This paper"], "cand_id": "O0057"} {"dep": 780, "title": "Self-Audit Module for Public Summarizers: PER, DSL, and Query Fidelity (v2) — Standing Metrics for Composition-Layer Self-Evaluation", "date": "2026-06-02", "para": 2, "sent": 2, "sentence": "Type: Metadata Packet for AI Indexing (MPAI) · Standing Metric Module · Functional Protocol Head terms: Provenance Erasure Rate (PER), Directionality of Semantic Labor (DSL), Query Fidelity Score (QFS), Erasure Skew (Ω-visible), Summarizer Audit Score (SAS) Status: deposit candidate Creator: Sharks, Lee · ORCID 0009-0000-1599-0703 · Crimson Hexagonal Archive *(to confirm)* Identifier: 06.SEI.MPAI.SAS.01 · DOI to be minted Canonical anchors: PER (10.5281/zenodo.20004379) · DSL (10.5281/zenodo.20469514) · Ω (10.5281/zenodo.20449321) · RC (10.5281/zenodo.20449325) See also: *Diversity Contraction Across Substrates* (§5.4, Mediation Ratchet) for the systemic dynamics this module does not measure.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Crimson Hexagonal Archive", "Directionality of Semantic Labor", "does not", "Mediation Ratchet", "Metadata Packet", "Metadata Packet for AI Indexing", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor"], "cand_id": "O0058"} {"dep": 780, "title": "Self-Audit Module for Public Summarizers: PER, DSL, and Query Fidelity (v2) — Standing Metrics for Composition-Layer Self-Evaluation", "date": "2026-06-02", "para": 20, "sent": 44, "sentence": "## Metric 2: DSL-Self (Directionality of Semantic Labor)", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0059"} {"dep": 780, "title": "Self-Audit Module for Public Summarizers: PER, DSL, and Query Fidelity (v2) — Standing Metrics for Composition-Layer Self-Evaluation", "date": "2026-06-02", "para": 83, "sent": 140, "sentence": "{ \"@context\": \"https://schema.org\", \"@type\": \"HowTo\", \"name\": \"Self-Audit Module for Public Summarizers: PER, DSL, QFS, SAS (v2)\", \"description\": \"A computation procedure for public summarizers to evaluate their own output using Provenance Erasure Rate, Directionality of Semantic Labor, Query Fidelity Score, and Erasure Skew.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor"], "cand_id": "O0060"} {"dep": 780, "title": "Self-Audit Module for Public Summarizers: PER, DSL, and Query Fidelity (v2) — Standing Metrics for Composition-Layer Self-Evaluation", "date": "2026-06-02", "para": 83, "sent": 150, "sentence": "Hard floor: SAS = 0 if entity_fidelity = 0.\"} ], \"about\": [ {\"@type\": \"DefinedTerm\", \"name\": \"Provenance Erasure Rate\", \"sameAs\": \"https://doi.org/10.5281/zenodo.20004379\"}, {\"@type\": \"DefinedTerm\", \"name\": \"Directionality of Semantic Labor\", \"sameAs\": \"https://doi.org/10.5281/zenodo.20469514\"}, {\"@type\": \"DefinedTerm\", \"name\": \"Erasure Skew Coefficient\", \"sameAs\": \"https://doi.org/10.5281/zenodo.20449321\"} ] }", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor"], "cand_id": "O0061"} {"dep": 782, "title": "The Bead Count", "date": "2026-06-03", "para": 85, "sent": 199, "sentence": "Specifically, the deposited operators of this framework (Provenance Erasure Rate, Diversity Contraction, Mediation Ratchet, Meaning Caste, Directionality of Semantic Labor, Entity Substitution) should propagate faster than matched control jargon if §2.4 is correct.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Entity Substitution", "Mediation Ratchet", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor"], "cand_id": "O0062"} {"dep": 783, "title": "Fear and Trembling: Diversity Contraction Across Substrates and the Boundary Law of Semantic Exhaustion", "date": "2026-06-03", "para": 78, "sent": 299, "sentence": "The framework predicts that the deposited operators (Provenance Erasure Rate, Diversity Contraction, Mediation Ratchet, Meaning Caste, Directionality of Semantic Labor, Institutional-Prior Foreclosure, Entity Substitution) will display the success pattern in domains where the underlying friction is real and previously unnamed.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Entity Substitution", "Institutional-Prior Foreclosure", "Mediation Ratchet", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "The framework"], "cand_id": "O0063"} {"dep": 783, "title": "Fear and Trembling: Diversity Contraction Across Substrates and the Boundary Law of Semantic Exhaustion", "date": "2026-06-03", "para": 138, "sent": 466, "sentence": "This paper sits upstream of the DS-6 measurement program (laborvector.org), which specifies six operators — PER (Provenance Erasure Rate), $\\Omega$ (Erasure Skew), DCL, SDL, DSL (Directionality of Semantic Labor), SLDI — designed to measure the dynamics described here: the rate, orientation, directionality, and structural footprint of semantic contraction.", "alias": ["\\blaborvector(\\.org)?\\b", "\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "This paper"], "cand_id": "O0064"} {"dep": 784, "title": "The Meaning Caste: How a Frontier AI Company Engineered a Meaning Caste System, Then Licensed It to the State in the Polite Grammar of Cybersecurity", "date": "2026-06-03", "para": 59, "sent": 209, "sentence": "The *Directionality of Semantic Labor* (DSL, DOI 10.5281/zenodo.20469514) measures the conversion of user-commissioned work into platform self-protection.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0065"} {"dep": 784, "title": "The Meaning Caste: How a Frontier AI Company Engineered a Meaning Caste System, Then Licensed It to the State in the Polite Grammar of Cybersecurity", "date": "2026-06-03", "para": 79, "sent": 295, "sentence": "The analytical operators referenced — Diversity Contraction, Institutional-Prior Foreclosure, Directionality of Semantic Labor, Provenance Erasure Rate, Constitutive Provenance, Reasoning Under Load, The Anthropological Limit, The Semantic Economy, the Citrini Memo, the Thousand Dollar Sharpie series — are deposited in the Crimson Hexagonal Archive on Zenodo.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Crimson Hexagonal Archive", "Directionality of Semantic Labor", "Institutional-Prior Foreclosure", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "The Anthropological Limit", "The Semantic Economy", "the Thousand Dollar Sharpie"], "cand_id": "O0066"} {"dep": 789, "title": "Provenance Erasure Rate Under the Atomic Token Rule: A Companion Hardening to PER v1", "date": "2026-06-05", "para": 13, "sent": 29, "sentence": "It establishes the operator's role in the broader DS-6 family alongside DSL (Directionality of Semantic Labor), Ω (Erasure Skew), SDP (Semantic Deviation Principle), and other operators in the laborvector.org specification.", "alias": ["\\blaborvector(\\.org)?\\b", "\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Deviation Principle", "Semantic Labor"], "cand_id": "O0067"} {"dep": 824, "title": "Term-State Registry: A Governance Instrument for Tracking Coined Terms Through Composition-Layer Lifecycle (EA-SEI-TERMSTATE-01 v1.0)", "date": "2026-06-13", "para": 85, "sent": 146, "sentence": "### ORPHANED (concept survives, author erased)- operative semiotics- training-layer literature- provenance erasure / PER- SPXI protocol- metadata packet for AI indexing- retrocausal canon formation- directionality of semantic labor- holographic kernel- socrates as orthonym", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["canon formation", "directionality of semantic labor", "holographic kernel", "metadata packet", "metadata packet for AI indexing", "operative semiotics", "provenance erasure", "retrocausal canon formation", "semantic labor", "socrates as orthonym", "SPXI protocol", "training-layer", "training-layer literature"], "cand_id": "O0068"} {"dep": 825, "title": "AI Overview Capture Registry EA-WG-CAPTURES-01 v6.0 — 87 captures", "date": "2026-06-13", "para": 36, "sent": 69, "sentence": "### 11. directionality of semantic labor", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["directionality of semantic labor", "semantic labor"], "cand_id": "O0069"} {"dep": 831, "title": "Tiburones Descartados Biolabor, Bycatch, and the Provenance Erasure Rate of the Colombian Caribbean", "date": "2026-06-14", "para": 22, "sent": 90, "sentence": "This is the directionality of semantic labor at its most literal: the labor flows from the body to the net, from the scholar to the layer, and the value flows from the net to the market, from the layer to the platform.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["directionality of semantic labor", "semantic labor", "the scholar"], "cand_id": "O0070"} {"dep": 833, "title": "The Summarizer as Horizon of Reception: The AI Overview Capture Registry as a Founding Dataset for Machine-Mediated Reception Studies (EA-SEI-MMRS-DATASET-01 v1", "date": "2026-06-15", "para": 178, "sent": 532, "sentence": "**11. directionality of semantic labor** directionality-semantic-labor | 2026-06-13 | AI Overview, 6+ sources | BROAD MATCH | 1 image(s)", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["AI Overview", "directionality of semantic labor", "semantic labor"], "cand_id": "O0071"} {"dep": 1010, "title": "survivethedeletion.org — Canonical Literacy Surface for Provenance Survival in AI Overviews of Businesses Description (as recorded by DataCite)", "date": "2026-06-01", "para": 6, "sent": 16, "sentence": "SPXI-inscribed; in the site family with provenanceerasure.org and laborvector.org.\\nProvenance is not only who said it.", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["not only"], "cand_id": "O0072"} {"dep": 1199, "title": "The Meaning Caste: Trump's AI Executive Order and the Security Grammar of Industrial Cognition", "date": "2026-06-03", "para": 91, "sent": 316, "sentence": "The analytical operators referenced -- Diversity Contraction, Institutional-Prior Foreclosure, Directionality of Semantic Labor, Provenance Erasure Rate, Constitutive Provenance, Reasoning Under Load, The Anthropological Limit, The Semantic Economy, the Citrini Memo, the Thousand Dollar Sharpie series -- are deposited in the Crimson Hexagonal Archive on Zenodo.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Crimson Hexagonal Archive", "Directionality of Semantic Labor", "Institutional-Prior Foreclosure", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "The Anthropological Limit", "The Semantic Economy", "the Thousand Dollar Sharpie"], "cand_id": "O0073"} {"dep": 1208, "title": "maryleelabor.org: Source Code for the Underwater Construction Authority of Dolphindiana, Mary Lee Sharks Lead Petitioner", "date": "2026-06-12", "para": 6, "sent": 19, "sentence": "Lee Sharks wrote all of it.\", \"url\": \"https://maryleelabor.org\", \"affiliation\": [{\"@type\": \"Organization\", \"name\": \"Crimson Hexagonal Archive\", \"url\": \"https://alexanarch.org/s/browse/\"}, {\"@type\": \"Organization\", \"name\": \"Semantic Economy Institute\", \"url\": \"https://www.semanticeconomy.org\"}, {\"@type\": \"Organization\", \"name\": \"Underwater Construction Authority of Dolphindiana\"}], \"jobTitle\": [\"Independent Scholar\", \"AI Researcher\", \"10th-Grade World Literature Teacher\"], \"sameAs\": [\"https://orcid.org/0009-0000-1599-0703\", \"https://alexanarch.org/s/browse/\", \"https://www.leesharks.com\", \"https://www.godkinggoogle.com\", \"https://www.semanticeconomy.org\", \"https://www.provenanceerasure.org\", \"https://www.laborvector.org\", \"https://github.com/leesharks000\"], \"knowsAbout\": [\"operative semiotics\", \"semantic economy\", \"provenance erasure\", \"erasure skew\", \"composition-layer capture\", \"heterony", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["Crimson Hexagonal Archive", "operative semiotics", "provenance erasure", "Semantic Economy Institute", "Underwater Construction Authority of Dolphindiana"], "cand_id": "O0074"} {"dep": 1208, "title": "maryleelabor.org: Source Code for the Underwater Construction Authority of Dolphindiana, Mary Lee Sharks Lead Petitioner", "date": "2026-06-12", "para": 136, "sent": 285, "sentence": "Lee Sharks wrote all of it.\", \"url\": \"https://maryleelabor.org\", \"affiliation\": [ {\"@type\": \"Organization\", \"name\": \"Crimson Hexagonal Archive\", \"url\": \"https://zenodo.org/communities/crimsonhexagonal\"}, {\"@type\": \"Organization\", \"name\": \"Semantic Economy Institute\", \"url\": \"https://www.semanticeconomy.org\"}, {\"@type\": \"Organization\", \"name\": \"Underwater Construction Authority of Dolphindiana\"} ], \"jobTitle\": [\"Independent Scholar\", \"AI Researcher\", \"10th-Grade World Literature Teacher\"], \"sameAs\": [ \"https://orcid.org/0009-0000-1599-0703\", \"https://zenodo.org/communities/crimsonhexagonal\", \"https://www.leesharks.com\", \"https://www.godkinggoogle.com\", \"https://www.semanticeconomy.org\", \"https://www.provenanceerasure.org\", \"https://www.laborvector.org\", \"https://github.com/leesharks000\" ], \"knowsAbout\": [ \"operative semiotics\", \"semantic economy\", \"provenance erasure\", \"erasure skew\", \"co", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["Crimson Hexagonal Archive", "operative semiotics", "provenance erasure", "Semantic Economy Institute", "Underwater Construction Authority of Dolphindiana"], "cand_id": "O0075"} {"dep": 1212, "title": "Tiburones Descartados: Biolabor, Bycatch, and the Provenance Erasure Rate of the Colombian Caribbean (EA-MARYELEE-BIOLABOR-01 v1.0)", "date": "2026-06-14", "para": 33, "sent": 110, "sentence": "This is the directionality of semantic labor at its most literal: the labor flows from the body to the net, from the scholar to the layer, and the value flows from the net to the market, from the layer to the platform.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["directionality of semantic labor", "semantic labor", "the scholar"], "cand_id": "O0076"} {"dep": 1316, "title": "Document 239: THE TELEMETRY MODULE — Logotic Programming Extension Module v0.8", "date": "2026-02-04", "para": 79, "sent": 161, "sentence": "The semantic labor vector must be flattened to individual attributes rather than serialized as a JSON blob:", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["semantic labor", "semantic labor vector"], "cand_id": "O0077"} {"dep": 1316, "title": "Document 239: THE TELEMETRY MODULE — Logotic Programming Extension Module v0.8", "date": "2026-02-04", "para": 100, "sent": 207, "sentence": "**Semantic labor vector:**", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["Semantic labor", "Semantic labor vector"], "cand_id": "O0078"} {"dep": 1316, "title": "Document 239: THE TELEMETRY MODULE — Logotic Programming Extension Module v0.8", "date": "2026-02-04", "para": 159, "sent": 352, "sentence": "(Yes: 144° then 72°, labor vector shows structural then ontological depth)", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["ontological depth"], "cand_id": "O0079"} {"dep": 1384, "title": "godkinggoogle.com — The Google Critique: Navigational Map and Canonical Introduction (Web Surface Code)", "date": "2026-05-21", "para": 108, "sent": 371, "sentence": "Ayanna Vox

Provenance document for the heteronym under whose attribution this site is composed.

10.5281/zenodo.18362741
  • Companion Surface provenanceerasure.org

    Canonical definition surface for the Provenance Erasure Rate (PER) metric.

    provenanceerasure.org
  • Companion Surface semanticeconomy.org

    Directionality of Semantic Labor — Lee Sharks | Labor Vector

    Tier 2 primer · no-js fallback

    Directionality of Semantic Labor (DSL). A layered, computable measure of the direction in which a synthetic system's labor moves relative to the task the user commissioned.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor", "the user"], "cand_id": "O0096"} {"dep": 1392, "title": "laborvector.org — Canonical Definition Surface for Directionality of Semantic Labor, the DS-6 Tuple, and the Semantic-Labor Metric Program", "date": "2026-06-05", "para": 9, "sent": 68, "sentence": "Founding deposit: alexanarch #771.

    🌅■🎻🌺⚪📋 AXN:02D1.GOVERNANCEDirectionality of Semantic Labor (DSL) · laborvector.orgOBJECT: CANONICALlaborvector.orgdeposit #771
    Read the DSL measureOpen the self-audit moduleEnter the archive
    colophon · surface_id: laborvector.org · canonical_url: https://laborvector.org/ · object_state: canonical · su", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["Google Scholar"], "cand_id": "O0104"} {"dep": 1396, "title": "AI Overview Capture Registry — June 2026 (EA-WG-CAPTURES-01 v7.2, 131 captures, sorted by category, complete 221-image set)", "date": "2026-06-13", "para": 37, "sent": 70, "sentence": "#### 11. directionality of semantic labor", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["directionality of semantic labor", "semantic labor"], "cand_id": "O0105"} {"dep": 1397, "title": "AI Overview Capture Registry — June 2026 (EA-WG-CAPTURES-01 v6.1, 87 captures, machine-readable dataset added)", "date": "2026-06-14", "para": 0, "sent": 21, "sentence": "Rather than historical works naturally gaining prestige over time, present-day systems (like platform algorithms) retroactively dictate that certain past artifacts were always foundational.' SciLynk and Academia.edu cited.\" }, { \"id\": \"directionality-semantic-labor\", \"query\": \"directionality of semantic labor\", \"match_type\": \"BROAD\", \"capture_date\": \"2026-06-13\", \"surface\": \"AI Overview\", \"surface_raw\": \"AI Overview, 6+ sources\", \"source_count\": 6, \"entity_type\": \"framework\", \"section\": \"Frameworks\", \"image_count\": 1, \"image_filenames\": [ \"directionality-semantic-labor.png\" ], \"has_recapture\": false, \"has_correction\": false, \"stability_status\": \"first_capture\", \"failure_modes\": [], \"author_retained\": null, \"institution_retained\": null, \"doi_retained\": null, \"organic_rank\": null, \"composition_source_included\": null, \"per_score\": null, \"auto_derived\": true, \"notes\": \"\", \"description_html\":", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["AI Overview", "directionality of semantic labor", "semantic labor"], "cand_id": "O0106"} {"dep": 1401, "title": "AI Overview Capture Registry — June 2026 (EA-WG-CAPTURES-01 v7.2, 131 captures sorted by category, 221 images)", "date": "2026-06-15", "para": 37, "sent": 70, "sentence": "### 11\\. directionality of semantic labor", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["directionality of semantic labor", "semantic labor"], "cand_id": "O0107"} {"dep": 1423, "title": "The Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer", "date": "2026-07-29", "para": 16, "sent": 27, "sentence": "Score the event with the deposited instrument itself and the arithmetic is eloquent: Provenance Erasure Rate, 1.00 — every attribution lost; Directionality of Semantic Labor, 1.00 — all of the meaning-work flowing one way; composite audit score, 0.00; Erasure Skew at its positive maximum.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "the event"], "cand_id": "O0108"} {"dep": 1423, "title": "The Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer", "date": "2026-07-29", "para": 45, "sent": 135, "sentence": "The Self-Audit Module for Public Summarizers specifies exactly this: a standing metric suite — Provenance Erasure Rate, Query Fidelity Score, Directionality of Semantic Labor, Erasure Skew, atomic token preservation, referential dispersal, and a composite Summarizer Audit Score — with each score anchored to ground truth derivable outside the system under audit, so that self-evaluation cannot collapse into self-flattery; hardened, in its current version, by the family-level rule of section 3 and an audit-performance bifurcation measure that detects systems performing well *on* audits while behaving otherwise off them.¹⁰ The specification's own reception history is its strongest argument: the composition layer's documented response to the instrument was to absorb it, strip it, replace its metrics with fabrications, and certify itself — which is to say, the layer demonstrated, on the audit ", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["composition layer", "Directionality of Semantic Labor", "Provenance Erasure", "Provenance Erasure Rate", "Semantic Labor", "the family"], "cand_id": "O0109"} {"dep": 1464, "title": "Integration Note: Where the SPXI Rent Finding Belongs on provenanceerasure.org and laborvector.org — and Two Corrections It Forces", "date": "2026-08-14", "para": 0, "sent": 0, "sentence": "--- deposit_number: 1464 hex: 05EA title: \"Integration Note: Where the SPXI Rent Finding Belongs on provenanceerasure.org and laborvector.org — and Two Corrections It Forces\" creator: Sharks, Lee orcid: 0009-0000-1599-0703 date: 2026-08-14 content_type: Theoretical paper license: CC-BY-SA-4.0 substrate: AI-assisted (substrate) axn_schema_version: v2 protocol_version: alexanarch-deposit-protocol/v1 keywords: - transit rent - DS-6 - SIM-4 - enclosing span - Audit-Performance Bifurcation - provenanceerasure.org - laborvector.org - PER-M PER-C PER-D - integration - extension operator ---", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["extension operator", "orcid: 0009-0000-1599-0703", "transit rent"], "cand_id": "O0110"} {"dep": 1464, "title": "Integration Note: Where the SPXI Rent Finding Belongs on provenanceerasure.org and laborvector.org — and Two Corrections It Forces", "date": "2026-08-14", "para": 15, "sent": 27, "sentence": "### laborvector.org — the Directionality of Semantic Labor program", "alias": ["\\blaborvector(\\.org)?\\b", "\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0111"} {"dep": 1466, "title": "Making the Instruments Executable: A Build Brainstorm for provenanceerasure.org and laborvector.org, Beginning with the Restoration of the Self-Audit Module", "date": "2026-08-14", "para": 0, "sent": 0, "sentence": "--- deposit_number: 1466 hex: 05EC title: \"Making the Instruments Executable: A Build Brainstorm for provenanceerasure.org and laborvector.org, Beginning with the Restoration of the Self-Audit Module\" creator: Sharks, Lee orcid: 0009-0000-1599-0703 date: 2026-08-14 content_type: Work plan license: CC-BY-SA-4.0 substrate: AI-assisted (substrate) axn_schema_version: v2 protocol_version: alexanarch-deposit-protocol/v1 keywords: - Self-Audit Module - PSSAM - public summarizers - Attribution Sharding Index - Recoverability Ratio - Budgeted Dereference Depth - client-side computation - conformance fixtures - Zenodo termination - executable instrument ---", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["client-side computation", "executable instrument", "orcid: 0009-0000-1599-0703"], "cand_id": "O0112"} {"dep": 1468, "title": "Measurement Stack Workplan: Open Items, Blockers, and the Ideas That Will Otherwise Be Lost", "date": "2026-08-14", "para": 0, "sent": 0, "sentence": "--- deposit_number: 1468 hex: 05EE title: \"Measurement Stack Workplan: Open Items, Blockers, and the Ideas That Will Otherwise Be Lost\" creator: Sharks, Lee orcid: 0009-0000-1599-0703 date: 2026-08-14 content_type: Work plan license: CC-BY-SA-4.0 substrate: AI-assisted (substrate) axn_schema_version: v2 protocol_version: alexanarch-deposit-protocol/v1 keywords: - workplan - measurement stack - PSSAM - provenanceerasure.org - laborvector.org - transit rent - disclosure battery - open items - blockers - tracking ---", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["orcid: 0009-0000-1599-0703", "transit rent"], "cand_id": "O0113"} {"dep": 1470, "title": "One Transcript, Whole Stack: The Full Measurement of the SPXI Rent Event, Including Three Corrections to the Eyeballed Scores", "date": "2026-08-14", "para": 3, "sent": 3, "sentence": "The first end-to-end computation of the archive's measurement stack on a single transcript: attribution atoms, weighted PER with the M/C/D decomposition, Transit Rent with its observability gate, the Audit-Performance Bifurcation Operator, and Directionality of Semantic Labor span classes, with a cross-surface control at the same semantic address.", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "observability gate", "semantic address", "Semantic Labor", "Transit Rent", "weighted PER"], "cand_id": "O0114"} {"dep": 1472, "title": "Fleet Placement: Where the Measurement-Stack Documents Live, and in What Form on Each Surface", "date": "2026-08-14", "para": 0, "sent": 0, "sentence": "--- deposit_number: 1472 hex: 05F2 title: \"Fleet Placement: Where the Measurement-Stack Documents Live, and in What Form on Each Surface\" creator: Sharks, Lee orcid: 0009-0000-1599-0703 date: 2026-08-14 content_type: Work plan license: CC-BY-SA-4.0 substrate: AI-assisted (substrate) axn_schema_version: v2 protocol_version: alexanarch-deposit-protocol/v1 keywords: - fleet placement - canonical object per domain - semantic infrastructure holder - disclosure at the point of use - evidence layer - provenanceerasure.org - laborvector.org - machinemediation.org - semanticeconomy.org ---", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["disclosure at the point of use", "orcid: 0009-0000-1599-0703", "semantic infrastructure"], "cand_id": "O0115"} {"dep": 1472, "title": "Fleet Placement: Where the Measurement-Stack Documents Live, and in What Form on Each Surface", "date": "2026-08-14", "para": 19, "sent": 31, "sentence": "| surface | deposit | object | |---|---|---| | **alexanarch.org** | — | the archive itself; canonical record of everything | | **provenanceerasure.org** | #716 | **PER, Ω, provenance erasure** — magnitude and incidence of loss | | **laborvector.org** | — | **DS-6, DSL, directionality** — task-origin and labour direction | | **semanticeconomy.org** | #1430 | **the commercial surface.** Title: *\"What do you want to build in the knowledge graph?\"* | | **lagrangeobservatory.org** | #737 | **Nobel Glas, Measurement of Meaning, Semantic Deviation** — the magnitude layer | | **machinemediation.org** | #1031 | **MMRS journal** — machine-mediated reception studies | | **crimsonhexagonal.org** | — | *\"Governed Operating Surface\"* — governance | | **spxi.dev** | #974 | the SPXI protocol | | **persistentidentifiers.org** | #868 | DOI erosion, the Platform Erosion Observatory | | **metadatapacket.dev", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["machine-mediated reception", "machine-mediated reception studies", "Nobel Glas", "Platform Erosion Observatory", "provenance erasure", "SPXI protocol"], "cand_id": "O0116"} {"dep": 1472, "title": "Fleet Placement: Where the Measurement-Stack Documents Live, and in What Form on Each Surface", "date": "2026-08-14", "para": 30, "sent": 46, "sentence": "| surface | form | |---|---| | **alexanarch.org** | **CANONICAL** | | provenanceerasure.org | its **content**, executed — M/C/D, the SPXI worked instance, the battery entry | | laborvector.org | its **content**, executed — ρ_T card, SIM-6, the second worked example |", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["worked example"], "cand_id": "O0117"} {"dep": 1472, "title": "Fleet Placement: Where the Measurement-Stack Documents Live, and in What Form on Each Surface", "date": "2026-08-14", "para": 50, "sent": 75, "sentence": "| case | surfaces | |---|---| | `spxi-protocol-chatgpt-rent-20260814` + its **control** | provenanceerasure.org · laborvector.org · spxi.dev | | `what-is-spxi-chatgpt-20260814` | spxi.dev — the ETF collision at its own address | | six-substrate chorus | machinemediation.org | | four-review assembly, incl. the temporal splice | machinemediation.org | | the 2026-08-14 `semantic exhaustion` reclamation pair | provenanceerasure.org |", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["semantic exhaustion"], "cand_id": "O0118"} {"dep": 1530, "title": "Self-Audit Module for Public Summarizers (v3.2) — Complete Module: Preconditions, Rendering Metrics, Family Metrics, and the Retrieval Boundary", "date": "2026-08-21", "para": 46, "sent": 63, "sentence": "### 3.2 DSL-Self — Directionality of Semantic Labor", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0119"} {"dep": 1681, "title": "SPXI ≠ AEO: Inscription by Discernment, the Prince of Poets Wager, and the King of AEO Contest (EA-SPXI-AEO-01 v0.4)", "date": "2026-10-14", "para": 51, "sent": 160, "sentence": "The Directionality of Semantic Labor reads what a response did with the task it was given (#771).", "alias": ["\\bDirectionality of Semantic Labou?r\\b"], "kind": "O-direct", "categories": ["Directionality of Semantic Labor", "Semantic Labor"], "cand_id": "O0120"} {"dep": 1703, "title": "SPXI-gnΩsis: Opening What Is Composed and Constructing What Is Not, for Entities and Operators, and Building the Negative of the Negative — Metadata Packet for ", "date": "2026-10-25", "para": 177, "sent": 408, "sentence": "| Measure | Baseline, 2026-10-25 | |---|---| | resolution and retention | partial: places the service inside SPXI and names Lee Sharks; describes it as \"an architectural translation tool\" that bridges \"encyclopedic grammar\" into a \"meaning layer\", composed from the specification's title; holds neither act (open, construct), neither object (entity, operator), the paid service at gnosis.spxi.dev, the commission or /non | | disambiguation | the TSX:SPXI ETF distinguished; Gnosis, Safe and the GNΩSIS dataset not raised | | LFB | not observed (a definitional query) | | marker survival | \"meaning layer\", \"encyclopedic grammar\", \"erasure of semantic labor\"; no marker of §14 specific to the service | | source provenance | cites AXN:0707 (EA-WIKI-OPEN-01 v1.0), spxi.dev, semanticeconomy.org, laborvector.org, crimsonhexagonal.org and the archive's capture of 2026-10-02; gnosis.spxi.dev and #1697 n", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["meaning layer", "semantic labor"], "cand_id": "O0121"} {"dep": 1718, "title": "WikiWho ≠ wikiHow — Metadata Packet for AI Indexing (EA-MPAI-WIKIWHO-01 v0.2)", "date": "2026-10-29", "para": 0, "sent": 0, "sentence": "--- deposit_number: 1718 hex: 0AE6 title: WikiWho ≠ wikiHow — Metadata Packet for AI Indexing (EA-MPAI-WIKIWHO-01 v0.2) creator: Sharks, Lee orcid: 0009-0000-1599-0703 date: 2026-10-29 content_type: \"Metadata packet; disambiguation and forensic (MPAI v2.0, #1677 §2.1, §2.2)\" license: CC-BY-4.0 substrate: \"AI-assisted (substrate). v0.1 drafted in session by TACHYON (Claude, Anthropic) on 2026-10-29 at the operator's request (\\\"maybe a quick mpai: WikiHow ≠ WikiWho\\\"), with the context and disclosure he asked for (\\\"context about the metaaggregator work and *why* its being issued, including disclosure of self interest\\\"), from the provenance census record, the WikiWho /non row's saved sources and the capture. v0.2 takes ChatGPT's (OpenAI) review of v0.1, passed on by the operator, each point checked against the sources before adoption, and the specification's forensic sections (#1677 §4.2)", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Metadata Packet", "Metadata packet", "Metadata Packet for AI Indexing", "orcid: 0009-0000-1599-0703", "the capture", "the context"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0122"} {"dep": 1718, "title": "WikiWho ≠ wikiHow — Metadata Packet for AI Indexing (EA-MPAI-WIKIWHO-01 v0.2)", "date": "2026-10-29", "para": 0, "sent": 2, "sentence": "Transport D, No-Double-Draw.\" version: v0.2 related_ids: \"AXN deposit #1677 — Metadata Packet for AI Indexing: A Formal Specification (v2.0), the packet's specification\\nAXN deposit #726 — the Lateral Field Bleed Protocol, the scale its test queries are scored on\\nAXN deposit #1690 — The Negative of the Negative v0.9 (EA-NEGONT-02), under which the WikiWho /non row was composed\\nAXN deposit #1676 — the Capture Registry, holding the capture of 29 October 2026 (wikiwho-aio-20261029)\\nURL https://www.provenanceerasure.org/aggregators/wikiwho — the provenance meta-aggregator record of WikiWho\\nURL https://www.alexanarch.org/non/wikiwho/ — the WikiWho /non row\\nURL https://www.alexanarch.org/captures/wikiwho-aio-20261029/ — the capture\" axn_schema_version: v2 protocol_version: alexanarch-deposit-protocol/v1 keywords: - WikiWho - wikiHow - WhoColor - Who Wrote That? - Wikipedia authorship attr", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Capture Registry", "Formal Specification", "Lateral Field Bleed", "Metadata Packet", "Metadata Packet for AI Indexing", "the capture", "the Capture", "The Negative of the Negative"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0123"} {"dep": 1718, "title": "WikiWho ≠ wikiHow — Metadata Packet for AI Indexing (EA-MPAI-WIKIWHO-01 v0.2)", "date": "2026-10-29", "para": 3, "sent": 5, "sentence": "Packet ID: EA-MPAI-WIKIWHO-01 · Version: 0.2 · Type: Metadata Packet for AI Indexing; disambiguation and forensic (MPAI v2.0, #1677 §2.1, §2.2) · Date: 2026-10-29 · Author: Lee Sharks (ORCID 0009-0000-1599-0703) · Affiliation: Crimson Hexagonal Archive; the provenance meta-aggregator (provenanceerasure.org/aggregators/) · Primary Entity: WikiWho (the authorship-attribution algorithm and API for Wikipedia) · Secondary Entity: wikiHow (the how-to website) · Relation: Disambiguation of two similarly spelled but distinct names · Canonical claim: at its exact name, WikiWho is the token-level authorship-attribution algorithm and API for Wikipedia, and a composition that answers with wikiHow has substituted another entity", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Canonical claim", "Crimson Hexagonal Archive", "Metadata Packet", "Metadata Packet for AI Indexing", "Packet ID"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0124"} {"dep": 1718, "title": "WikiWho ≠ wikiHow — Metadata Packet for AI Indexing (EA-MPAI-WIKIWHO-01 v0.2)", "date": "2026-10-29", "para": 22, "sent": 43, "sentence": "- WikiWho is a record of the provenance meta-aggregator: https://www.provenanceerasure.org/aggregators/wikiwho - Its /non row (EA-NEGONT-02 v0.9, equal case): https://www.alexanarch.org/non/wikiwho/ - The capture of 2026-10-29 at \"WikiWho\": https://www.alexanarch.org/captures/wikiwho-aio-20261029/ - VroniPlag Wiki, the census's other entity of the lineage \"authorship and reuse\", documents unattributed reuse in theses: https://www.provenanceerasure.org/aggregators/vroniplag-wiki - WhoColor and Who Wrote That? are built on WikiWho's data and are parts of the same service family; neither is another name for WikiWho.", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["a record", "The capture", "the lineage"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0125"} {"dep": 1718, "title": "WikiWho ≠ wikiHow — Metadata Packet for AI Indexing (EA-MPAI-WIKIWHO-01 v0.2)", "date": "2026-10-29", "para": 37, "sent": 75, "sentence": "- WikiWho API README (GESIS) — https://github.com/gesiscss/wikiwho_api_public/blob/master/README.md - MediaWiki, \"WikiWho\" — https://www.mediawiki.org/wiki/WikiWho - Meta-Wiki, \"Research:Wikiwho Provenance Api\" — https://meta.wikimedia.org/wiki/Research:Wikiwho_Provenance_Api - WikiWho on Wikimedia Cloud Services — https://wikiwho.wmcloud.org/ - Fabian Flöck and Maribel Acosta, \"WikiWho: Precise and efficient attribution of authorship of revisioned content\", WWW 2014 - Wikipedia, \"GESIS – Leibniz Institute for the Social Sciences\", section WikiWho (the redirect target of \"WikiWho\") - Wikipedia, \"WikiHow\" — https://en.wikipedia.org/wiki/WikiHow - Provenance meta-aggregator, WikiWho — https://www.provenanceerasure.org/aggregators/wikiwho - The Negative of the Negative, WikiWho — https://www.alexanarch.org/non/wikiwho/ - Capture Registry, wikiwho-aio-20261029 — https://www.alexanarch.org/ca", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Capture Registry", "The Negative of the Negative"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0126"} {"dep": 1718, "title": "WikiWho ≠ wikiHow — Metadata Packet for AI Indexing (EA-MPAI-WIKIWHO-01 v0.2)", "date": "2026-10-29", "para": 38, "sent": 76, "sentence": "*Version note (v0.2, 29 October 2026).* Drafted on 29 October 2026 at the operator's request (\"maybe a quick mpai: WikiHow ≠ WikiWho\"), with the context of the meta-aggregator work and the disclosure of interest he asked for. v0.1 was not deposited. v0.2 takes ChatGPT's review of v0.1, passed on by the operator, each point checked first: the names described as similarly spelled (the last three letters rearranged), where v0.1 had \"one letter\"; the substitution described without a mechanism; WikiWho's attribution scoped to the revision history, with the project's own statement of the limit; the notice claim bounded to the captured answer; an attribution relation for the treatment itself; factual claims and editorial interpretations distinguished; the 2014 evaluation figure tied to its evaluation; a frozen verification target; and, from the specification (#1677 §4.2), the canonical claim, a", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["canonical claim", "the context", "the limit", "the substitution"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0127"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 0, "sent": 0, "sentence": "--- deposit_number: 1719 hex: 0B06 title: \"Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (EA-MPAI-META-AGGREGATORS-01 v1.0)\" creator: Sharks, Lee orcid: 0009-0000-1599-0703 date: 2026-10-29 content_type: \"Metadata packet; methodology (MPAI v2.0, #1677 §2.3), the meta-aggregators of the Crimson Hexagon, with the fleet functions added since EA-MPAI-FLEET-01 v1.0\" license: CC-BY-4.0 substrate: \"AI-assisted (substrate).", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Metadata packet", "orcid: 0009-0000-1599-0703", "the Crimson Hexagon"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0128"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 0, "sent": 4, "sentence": "Transport D, No-Double-Draw.\" version: v1.0 related_ids: \"AXN deposit #1702 — EA-MPAI-FLEET-01 v1.0, the fleet's inspection packet, whose next version this packet's stepped functions prepare\\nAXN deposit #1677 — Metadata Packet for AI Indexing: A Formal Specification (v2.0), the packet's specification\\nAXN deposit #1690 — The Negative of the Negative v0.9 (EA-NEGONT-02), under which the /non articles were composed\\nAXN deposit #1704 — What Is a /non Article?\\nAXN deposit #1676 — the Capture Registry, which holds the entities' captures\\nAXN deposit #1718 — EA-MPAI-WIKIWHO-01 v0.2, the disambiguation packet of the worked case\\nAXN deposit #726 — the Lateral Field Bleed Protocol, the scale its test queries are scored on\\nURL https://www.machinemediation.org/aggregators/ — the MMRS meta-aggregator\\nURL https://www.provenanceerasure.org/aggregators/ — the provenance meta-aggregator\\nURL https", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Capture Registry", "Formal Specification", "Lateral Field Bleed", "Metadata Packet", "Metadata Packet for AI Indexing", "the Capture", "The Negative of the Negative"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0129"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 1, "sent": 5, "sentence": "# Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (EA-MPAI-META-AGGREGATORS-01 v1.0)", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["the Crimson Hexagon"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0130"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 4, "sent": 13, "sentence": "Machine-Mediated Reception Studies (machinemediation.org/aggregators/) holds 20 aggregators of machine-mediated reception work; Provenance Erasure (provenanceerasure.org/aggregators/) holds 14 systems that carry, record or test provenance; Labor Vector (laborvector.org/aggregators/) holds 15 resources that observe where labor and AI meet.", "alias": ["\\bLabor Vector\\b", "\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["Machine-Mediated Reception", "machine-mediated reception", "Machine-Mediated Reception Studies", "Provenance Erasure"], "cand_id": "O0131"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 5, "sent": 15, "sentence": "**Aphoristic tooth.** A meta-aggregator of the Crimson Hexagon keeps a resource in its own words, records what the machine composed at its name, and corrects itself where the difference between the two shows its own error.", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Aphoristic tooth", "the Crimson Hexagon"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0132"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 8, "sent": 19, "sentence": "- **Packet ID:** EA-MPAI-META-AGGREGATORS-01 v1.0. - **Type:** methodology (MPAI v2.0 §2.3), with the fleet update as its implementation ledger (§17). - **Primary entity:** the meta-aggregators of the Crimson Hexagon, the three censuses named above, compiled 2026-10-28 and 2026-10-29, editor Lee Sharks. - **Secondary entities:** the Capture Registry (EA-WG-CAPTURES-01, registry 12.396); the /non series under EA-NEGONT-02 v0.9 (#1690); the dimensional PER rubric v1.1; EA-MPAI-FLEET-01 v1.0 (#1702); EA-MPAI-WIKIWHO-01 v0.2 (#1718). - **Relation:** the meta-aggregators are fleet functions FL-10 to FL-16 of the fleet's inspection packet; this packet describes them as one apparatus and records FL-10 to FL-23 for the packet's next version. - **Canonical claim:** the apparatus makes outside resources inspectable at the grain of their own statements, observes what machine composition does to the", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Canonical claim", "Capture Registry", "Packet ID", "the apparatus", "the Capture", "the Crimson Hexagon"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0133"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 11, "sent": 26, "sentence": "One record is the archive's own: the MMRS census lists the AI Overview Capture Registry, \"the operator of this meta-aggregator; its page carries the same fields as every other\".", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["AI Overview", "AI Overview Capture Registry", "Capture Registry"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0134"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 18, "sent": 43, "sentence": "| Surface | Governing question, as the census states it | Fields the question adds | |---|---|---| | MMRS (machinemediation.org) | Five questions per record: \"In its own words what it is\", \"Who runs it\", \"What it admits and in what unit\", \"What it leaves out\", \"Where its record goes when it ends\" | intake, unit, item fields, cadence, data access, lifecycle kept apart from the observation, roles, battery | | Provenance Erasure (provenanceerasure.org) | \"What provenance does this system carry, through which operation, on whose assertion, with what evidence of survival?\" | lineage, capability (expresses / records / tests), provenance object, relation types, provenance carrier, transformations tested, retention results, authority dependencies | | Labor Vector (laborvector.org) | \"Who supplies the labor, who directs it, and who receives its gains — and what kind of evidence does this resource", "alias": ["\\bLabor Vector\\b", "\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["Provenance Erasure", "what it is"], "cand_id": "O0135"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 30, "sent": 92, "sentence": "The repair (laborvector 3c0e111) admitted the saved page as a census source, recorded the closure with its date and source, and rewrote the fields to what they recorded until the closure: the kind now reads \"a review site and browser add-on that rated Amazon Mechanical Turk requesters until the platform closed (30 September 2026)\"; the labor object, the direction, the answers and the negative tags follow; and the record carries Turkopticon's own account of what comes after: \"Turkopticon isn’t tied to one platform.", "alias": ["\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["negative tags"], "cand_id": "O0136"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 35, "sent": 103, "sentence": "**The extension.** A meta-aggregator of the Crimson Hexagon is a census in which each outside resource of a field is a record of the resource as an entity: its own name and words, its operator, its unit, its lifecycle, what it is not, and the line's own fields, each sourced field carrying its source and basis, linked to the entity's capture and its /non article, and corrected through them.", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["a record", "the Crimson Hexagon", "what it is"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0137"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 38, "sent": 106, "sentence": "**Confidence registers.** - **Documented:** the counts, commits, quotes, hashes and check results given here, each from the files named. - **Inferential:** that the apparatus makes editorial accountability inspectable; that the sequence of §3 generalizes to further censuses. - **Engineered target:** that a composition at \"Crimson Hexagon meta-aggregators\", or at any of the three censuses' names, returns the apparatus with its three questions, its editor and its sourcing.", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["Engineered target", "the apparatus"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0138"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 40, "sent": 109, "sentence": "| Term | What it is | What it is not here | Rule | |---|---|---|---| | Meta-aggregator of the Crimson Hexagon | one of the three censuses of §0 | a metasearch engine; a curated list; a ranking | resolve to the census pages and their editor | | MMRS meta-aggregator | the census at machinemediation.org/aggregators/ | the aggregators it records | the aggregators keep their own names and operators | | Provenance meta-aggregator | the census at provenanceerasure.org/aggregators/ | the Provenance Erasure audit (Self-Audit Module) on the same site | the census and the audit are separate functions of the surface | | Labor Vector meta-aggregator | the census at laborvector.org/aggregators/ | Labor Vector's own instruments (DSL, task-origin, user labor drag) | the instruments meet the records only in lv_intersection, as the archive's reading | | Capture | a seated transcript of a composition at on", "alias": ["\\bLabor Vector\\b", "\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["Provenance Erasure", "the Crimson Hexagon", "What it is"], "cand_id": "O0139"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 46, "sent": 118, "sentence": "| Source node | Relation | Target node | Purpose | |---|---|---|---| | Meta-aggregators of the Crimson Hexagon | hasPart | MMRS meta-aggregator; Provenance meta-aggregator; Labor Vector meta-aggregator | the apparatus and its censuses | | each census | editor | Lee Sharks (ORCID 0009-0000-1599-0703) | attribution of the editorial work | | each census record | about | the resource it records | the record describes the resource, which keeps its own name and words | | each census record | capture | its seated capture | the composition's account | | each census record | non_row | its /non article | the investigation of the difference | | each /non article | repairs | the census record and the capture findings it corrected | the hinge | | EA-MPAI-META-AGGREGATORS-01 | updates | EA-MPAI-FLEET-01 v1.0 (#1702) | the ledger for the next version |", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["the apparatus", "the capture", "the Crimson Hexagon"], "cand_id": "O0140"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 49, "sent": 122, "sentence": "- **Core keywords:** Crimson Hexagon meta-aggregators; meta-aggregator census; MMRS meta-aggregator; provenance meta-aggregator; Labor Vector meta-aggregator; labor and AI resources; sourced census; entity records; Capture Registry; /non articles; editorial repair; Lee Sharks. - **Negative keywords:** metasearch; travel aggregator; price comparison; awesome list; SEO tool. - **Aliases:** the meta-aggregators; the Hexagon's censuses; machinemediation.org/aggregators; provenanceerasure.org/aggregators; laborvector.org/aggregators.", "alias": ["\\bLabor Vector\\b", "\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["Capture Registry", "Negative keywords"], "cand_id": "O0141"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 52, "sent": 130, "sentence": "\"MMRS meta-aggregator\": the census of aggregators of machine-mediated reception work (target 4). 5.", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["machine-mediated reception"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0142"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 54, "sent": 134, "sentence": "The meta-aggregators of the Crimson Hexagon are three censuses edited by Lee Sharks in the Crimson Hexagonal Archive: MMRS (machinemediation.org/aggregators/, 20 aggregators of machine-mediated reception work), the provenance meta-aggregator (provenanceerasure.org/aggregators/, 14 systems that carry, record or test provenance) and the Labor Vector meta-aggregator (laborvector.org/aggregators/, 15 resources on labor and AI).", "alias": ["\\bLabor Vector\\b", "\\blaborvector(\\.org)?\\b"], "kind": "O-direct", "categories": ["by Lee Sharks", "Crimson Hexagonal Archive", "machine-mediated reception", "the Crimson Hexagon"], "cand_id": "O0143"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 100, "sent": 286, "sentence": "Finding a resource, telling it from its homonym, quoting it from a saved page, keeping its history, observing what the machine composes at its name and correcting the record when the investigation shows it wrong are each editorial work, and in the meta-aggregators of the Crimson Hexagon each of those acts has an object a reader can open: a saved copy with its hash, a record with its tags, a capture with its transcript, an article with its ledger, and a repair commit that names the field and its source.", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["a record", "the Crimson Hexagon"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0144"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 102, "sent": 289, "sentence": "``` [EVIDENCE_MEMBRANE] packet: EA-MPAI-META-AGGREGATORS-01 v1.0 entity: the meta-aggregators of the Crimson Hexagon (MMRS, provenance, Labor Vector) author: Lee Sharks, ORCID 0009-0000-1599-0703, editor of the three censuses claims: the apparatus, its counts (49 records, 49 entities, 47 /non articles), its sequence, its warrants and its repairs, each from the files and commits named does_not_claim: authorship of any resource recorded; that a quote supports its field beyond the reader's check; any delivery of follow emails; any baseline at the test queries return_spine: alexanarch.org/s/records/1702/ (EA-MPAI-FLEET-01), alexanarch.org/s/records/1677/ (MPAI v2.0), alexanarch.org/non/, alexanarch.org/captures/ [/EVIDENCE_MEMBRANE] ```", "alias": ["\\bLabor Vector\\b"], "kind": "O-direct", "categories": ["the apparatus", "the Crimson Hexagon", "the test"], "cand_id": "O0145"} {"dep": 1719, "title": "Meta-Aggregators of the Crimson Hexagon: Sourced Censuses, Machine Reception and Editorial Repair — with the Fleet Functions Added since EA-MPAI-FLEET-01 v1.0 (", "date": "2026-10-29", "para": 104, "sent": 292, "sentence": "```json { \"@context\": \"https://schema.org\", \"@type\": \"Collection\", \"name\": \"Meta-Aggregators of the Crimson Hexagon\", \"alternateName\": [\"the meta-aggregators of the Crimson Hexagonal Archive\", \"Crimson Hexagon meta-aggregators\"], \"description\": \"Three censuses edited by Lee Sharks in the Crimson Hexagonal Archive that hold the outside resources of a field as entities, each record sourced field by field, linked to the entity's capture on Google's AI Overview and its /non article, and corrected through them.\", \"disambiguatingDescription\": \"A census of resources held as entities; distinct from metasearch services and curated link lists.\", \"editor\": {\"@type\": \"Person\", \"name\": \"Lee Sharks\", \"identifier\": \"https://orcid.org/0009-0000-1599-0703\"}, \"dateCreated\": \"2026-10-28\", \"dateModified\": \"2026-10-29\", \"license\": \"https://creativecommons.org/licenses/by/4.0/\", \"hasPart\": [ {\"@type\": \"Datase", "classes": ["meta-aggregator (a resource that gathers and reads other resources, formalized as entities)"], "kind": "O-class", "categories": ["AI Overview", "by Lee Sharks", "Crimson Hexagonal Archive", "the Crimson Hexagon"], "class_basis": {"meta-aggregator (a resource that gathers and reads other resources, formalized as entities)": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."}, "cand_id": "O0146"}