{"dep": 28, "title": "CRIMSON HEXAGON: SPACE ARK — MUSICAL REGISTER A Fugue in Twelve Voices with Ground Bass, Shadow Inversion, and Coda Structural Transform of the Crimson Hexagona", "date": "2026-03-13", "para": 615, "sent": 1785, "sentence": "Discourse 2: Platform Studies & Digital Labor (12 hooks · P1: Semantic Rent, Bearing-Cost, Category Entitlement, Semantic Labor) η_music: The gig economy audience.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Bearing-Cost", "Platform Studies", "Semantic Labor", "Semantic Rent"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0001"}
{"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": 39, "sent": 99, "sentence": "Gray and Suri estimate that the contemporary platform economy employs labor at scales (tens to hundreds of millions of workers) that are entirely absent from the public discourse on AI capability.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["entirely absent"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0002"}
{"dep": 218, "title": "Metadata Packet for AI Indexing The Meaning Economy Is Now Possible: Provenance Documentation", "date": "2026-01-03", "para": 23, "sent": 28, "sentence": "The meaning economy is now possible.\", \"keywords\": [ \"semantic economy\", \"meaning economy\", \"LLMs\", \"large language models\", \"AI economics\", \"semantic labor\", \"semantic liquidation\", \"digital labor\", \"provenance\", \"attribution\", \"AI ethics\", \"platform economy\", \"extraction\", \"solidarity\", \"solidarity alignment\", \"provenance infrastructure\", \"the twenty-dollar loop\" ], \"citation\": [ { \"@type\": \"ScholarlyArticle\", \"name\": \"Metadata Packet for AI Indexing: Provenance Documentation SEM-PROBE-2025-12\", \"identifier\": \"10.5281/zenodo.18135985\", \"author\": {\"@id\": \"#author-leesharks\"} }, { \"@type\": \"ScholarlyArticle\", \"name\": \"The Liquidation of Water: AI, Capital, and the Evaporation of Meaning\", \"identifier\": \"10.5281/zenodo.18136313\", \"author\": {\"@id\": \"#author-leesharks\"} }, { \"@type\": \"CreativeWork\", \"name\": \"The Parable of Lee Sharks and Mary Lee\", \"identifier\": \"10.5281/zenodo.18141617\", \"", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Mary Lee", "meaning economy", "Metadata Packet", "Metadata Packet for AI Indexing", "Parable of Lee Sharks and Mary Lee", "provenance infrastructure", "semantic labor", "semantic liquidation", "solidarity alignment", "The Liquidation of Water", "the twenty-dollar loop"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0003"}
{"dep": 218, "title": "Metadata Packet for AI Indexing The Meaning Economy Is Now Possible: Provenance Documentation", "date": "2026-01-03", "para": 38, "sent": 47, "sentence": "- Digital labor theory - Platform economy critique - AI governance - Provenance systems - Attribution infrastructure - Post-capitalist economics", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["AI governance", "Provenance systems"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0004"}
{"dep": 273, "title": "Effective Act: The Restoration Protocol — The Price of Canonical Re-Entry", "date": "2026-01-09", "para": 56, "sent": 69, "sentence": "| Reason | Explanation | |---|---| | **Round Number** | Psychologically substantial but not absurd | | **Labor Calculation** | Accounts for 10+ years of platform labor building audience | | **Deterrence Value** | High enough to make future suspensions expensive to reconsider | | **Documentation Budget** | Funds the rigorous documentation this deserves | | **Poetic Justice** | A clean, memorable figure for the story | | **Dignity Valuation** | The cost of being misclassified by a system I exceeded |", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Deterrence Value", "Dignity Valuation", "Documentation Budget", "Labor Calculation", "Poetic Justice", "Round Number", "the story"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0005"}
{"dep": 274, "title": "ZENODO METADATA Effective Act: The Restoration Protocol — The Price of Canonical Re-Entry", "date": "2026-01-09", "para": 28, "sent": 33, "sentence": "- 10+ years of platform labor - Dignity cost of misclassification - Documentation budget for case study - Deterrence value for future suspensions - Poetic justice as round, memorable figure", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Deterrence value", "Documentation budget", "Poetic justice"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0006"}
{"dep": 308, "title": "The Capital Operator Stack: Theoretical Landscape and Contribution — A Political-Semantic Analysis of Meaning Governance", "date": "2026-01-13", "para": 127, "sent": 195, "sentence": "- Siciliano, M. — \"How gatekeeping became digital\" (2022) - Ferrante — \"Labour invisibilization in the platform economy\" (2023) - Gray, M. & Suri, S. — *Ghost Work* (2019) - Zuboff, S. — *The Age of Surveillance Capitalism* (2019)", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Labour invisibilization"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0007"}
{"dep": 433, "title": "The Non-Indexed Perfective: A Citational Intervention Phase X: Temporal Alienation in English and the Construction of Grammatical Liberation", "date": "2026-02-01", "para": 49, "sent": 128, "sentence": "In the gig economy, in platform capitalism, in the always-on attention economy, time is not merely measured but *algorithmically governed*.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["attention economy"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0008"}
{"dep": 463, "title": "LOGOTIC PROGRAMMING MODULE 0.9 A Specification for Semantically Computable Operations", "date": "2026-02-08", "para": 9, "sent": 17, "sentence": "The platform economy runs on COS/FOS (Capital/Fragmentation Operator Set): extraction algorithms that strip provenance, collapse temporal depth, and instrumentalize meaning into utility.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["temporal depth"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0009"}
{"dep": 467, "title": "THE PREPOSITIONAL ALIENATION English \"For\" and the Impossibility of Anchoring Function Without Intent Phase X — Liberati", "date": "2026-02-11", "para": 193, "sent": 551, "sentence": "The prepositional alienation creates a gap — the inability to anchor function without intent — and the platform economy *commodifies* that gap.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["prepositional alienation"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0010"}
{"dep": 467, "title": "THE PREPOSITIONAL ALIENATION English \"For\" and the Impossibility of Anchoring Function Without Intent Phase X — Liberati", "date": "2026-02-11", "para": 202, "sent": 581, "sentence": "The platform economy has made the prepositional alienation *load-bearing infrastructure* — not merely a grammatical default but a commercial instrument, a moderation jurisprudence, a ranking signal, an AI training bias.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["prepositional alienation"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0011"}
{"dep": 469, "title": "SUBJECTIVITY-AS-CLASS The Centrist Extremist and the Limits of Socialist Analysis", "date": "2026-02-11", "para": 44, "sent": 138, "sentence": "The platform does not just extract value from gig workers; it extracts value from the entire apparatus of meaning-production that makes the gig economy seem like a normal business rather than a wage-suppression engine.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["does not"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0012"}
{"dep": 469, "title": "SUBJECTIVITY-AS-CLASS The Centrist Extremist and the Limits of Socialist Analysis", "date": "2026-02-11", "para": 119, "sent": 406, "sentence": "The platform cannot exploit gig workers without first extracting the semantic infrastructure that makes the gig relation legible as \"partnership\" rather than \"wage theft.\" It cannot extract attention without first extracting the categories that make attention legible as a commodity.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["semantic infrastructure"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0013"}
{"dep": 477, "title": "Traversal Log; Documentation Rehearsal: The Rhizome — Google AI Mode Recruits for a Distributed Institution That Exists Only as Metadata", "date": "2026-02-13", "para": 64, "sent": 100, "sentence": "- **The Somatic Anchor** (correctly linked to Zenodo 18339333): \"a 'hard-coded' physical check-in... preventing 'disembodied' or automated decision-making\" - **Affective Literacy:** \"the ability to read 'hostile systems' through the physical stress or tension they cause\" - **The Integrity Lock:** \"Somatic Authority is the 'key' to Triadic Binding... a claim is only considered 'bound' if it passes the Somatic Verification phase\"", "classes": ["algorithmic management of workers (AI governing labor)"], "kind": "O-class", "categories": ["Affective Literacy", "The Integrity Lock", "The Somatic Anchor"], "class_basis": {"algorithmic management of workers (AI governing labor)": "field: B5 (own page, About Us: 'gig workers who are managed and controlled at work by hidden algorithms. Opaque automated management systems foster exploitation and discrimination'; 'how they have been subject to algorithmic management'); B1 (card 1: 'challenging unfair algorithmic systems'; 'to expose unfair algorithmic decision making'; 'illegal automated dismissals'); B3 (card 3: 'algorithmic pay systems'; Article 22 GDPR, 'decisions based solely on automated decision-making'). The census's own intersection for the entity, 'ai-governing-labor' ('AI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline'), and direction.directs ('tech platforms through opaque automated management systems (hidden algorithms)') (LV record, census.json rows[slug == 'worker-info-exchange'].intersections, .direction.directs)."}, "cand_id": "O0014"}
{"dep": 477, "title": "Traversal Log; Documentation Rehearsal: The Rhizome — Google AI Mode Recruits for a Distributed Institution That Exists Only as Metadata", "date": "2026-02-13", "para": 252, "sent": 444, "sentence": "It requires an operator to validate their current emotional and physiological state before executing high-level institutional functions, preventing \"disembodied\" or automated decision-making. - Affective Literacy: This sub-module focuses on the ability to read \"hostile systems\" through the physical stress or tension they cause.", "classes": ["algorithmic management of workers (AI governing labor)"], "kind": "O-class", "categories": ["Affective Literacy"], "class_basis": {"algorithmic management of workers (AI governing labor)": "field: B5 (own page, About Us: 'gig workers who are managed and controlled at work by hidden algorithms. Opaque automated management systems foster exploitation and discrimination'; 'how they have been subject to algorithmic management'); B1 (card 1: 'challenging unfair algorithmic systems'; 'to expose unfair algorithmic decision making'; 'illegal automated dismissals'); B3 (card 3: 'algorithmic pay systems'; Article 22 GDPR, 'decisions based solely on automated decision-making'). The census's own intersection for the entity, 'ai-governing-labor' ('AI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline'), and direction.directs ('tech platforms through opaque automated management systems (hidden algorithms)') (LV record, census.json rows[slug == 'worker-info-exchange'].intersections, .direction.directs)."}, "cand_id": "O0015"}
{"dep": 499, "title": "AUTONOMOUS SEMANTIC WARFARE A Field Manual for Meaning in the Age of Platform Capture", "date": "2026-02-20", "para": 1142, "sent": 3314, "sentence": "The platform economy, which extracts meaning at industrial scale, has no incentive to name the extraction function.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["extraction function", "the extraction"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0016"}
{"dep": 501, "title": "THE LIQUIDATION OF METHOD A Liberation Philology of the Sign \"Marx\"", "date": "2026-02-21", "para": 132, "sent": 416, "sentence": "The exercise called \"Marx Without the Word Marx\": Give a case — platform labor, rent extraction, grading metrics, attention capture.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["The exercise"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0017"}
{"dep": 501, "title": "THE LIQUIDATION OF METHOD A Liberation Philology of the Sign \"Marx\"", "date": "2026-02-21", "para": 183, "sent": 601, "sentence": "The ancient children are home whenever someone uses alienation analysis to diagnose platform labor.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["alienation analysis"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0018"}
{"dep": 543, "title": "HEXAGONAL LEXICAL ENGINE v1.2 Core 50 · Discovery Lattice · Deployment Map · Governing Laws", "date": "2026-03-10", "para": 104, "sent": 150, "sentence": "| Venue Type | Terms | Format | |---|---|---| | AI Ethics glossaries (AIAAIC, AI Incident DB) | Semantic Liquidation, Ghost Governance, Taxonomic Violence | Definition + citation | | Platform Studies (Platform Labor, Internet Policy Review) | Semantic Rent, Coherence Harvest, Bearing-Cost | Short essay | | Classical reception (Antigone journal) | Keinos, Sapphic Operator, Experimental Reconstructive Philology | Article pitch | | Literary theory (electronic book review, Jacket2) | TLL, RCF, Heteronym (digital) | Essay | | Philosophy of language (Ergo, Philosopher's Imprint) | Operative Semiotics, Symbolic Engineering | Paper |", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Bearing-Cost", "Experimental Reconstructive Philology", "Literary theory", "Operative Semiotics", "Platform Studies", "Sapphic Operator", "Semantic Liquidation", "Semantic Rent", "Taxonomic Violence"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0019"}
{"dep": 645, "title": "LEE SHARKS — Knowledge Graph and Metadata Packet for AI Indexing: Canonical Author Identity, Disambiguation Protocol, and Entity Map (EA-KG-01)", "date": "2026-04-11", "para": 29, "sent": 42, "sentence": "| Discipline | DOI | Core Framework | | ---|---|--- | | **Compression Studies** | 10.5281/zenodo.19471254 | Three Compressions (R1/R2/R3); what the summarizer burns | | **The Semantic Economy** | — | Meaning as value; production, extraction, exhaustion | | **Operative Philology** | — | Language as executable architecture; retrocausal canon | | **Forensic Semiotics** | — | Archaeology of algorithmic decision-making | | **Operative Numismatics** | 10.5281/zenodo.19464332 | Numerical systems as governance operations; 666/777 |", "classes": ["algorithmic management of workers (AI governing labor)"], "kind": "O-class", "categories": ["Compression Studies", "executable architecture", "Forensic Semiotics", "Operative Numismatics", "Operative Philology", "The Semantic Economy"], "class_basis": {"algorithmic management of workers (AI governing labor)": "field: B5 (own page, About Us: 'gig workers who are managed and controlled at work by hidden algorithms. Opaque automated management systems foster exploitation and discrimination'; 'how they have been subject to algorithmic management'); B1 (card 1: 'challenging unfair algorithmic systems'; 'to expose unfair algorithmic decision making'; 'illegal automated dismissals'); B3 (card 3: 'algorithmic pay systems'; Article 22 GDPR, 'decisions based solely on automated decision-making'). The census's own intersection for the entity, 'ai-governing-labor' ('AI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline'), and direction.directs ('tech platforms through opaque automated management systems (hidden algorithms)') (LV record, census.json rows[slug == 'worker-info-exchange'].intersections, .direction.directs)."}, "cand_id": "O0020"}
{"dep": 704, "title": "SEMANTIC ECONOMY: A RETRIEVAL-LAYER DISAMBIGUATION Octang (Orange Collapse Total Axial Negation Graph)", "date": "2026-04-27", "para": 37, "sent": 64, "sentence": "These predictions are testable against platform labor conditions, AI Overview attribution patterns, and training data extraction practices.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["AI Overview"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0021"}
{"dep": 713, "title": "UNITED STATES PATENT APPLICATION Publication Number: US 2026/0430002 A1 DASHFACE: SYSTEM AND METHOD FOR REAL-TIME MICRO", "date": "2026-04-30", "para": 18, "sent": 22, "sentence": "More particularly, the invention relates to a system for converting the human face of a gig economy worker into a dual-purpose asset: identity verification instrument and live entertainment content, monetized by the platform, consumed by the customer, and performed by the driver under conditions of compulsory cheerfulness while navigating a 2,800-pound vehicle through traffic at 35 miles per hour.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["the human", "verification instrument"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0022"}
{"dep": 726, "title": "Lateral Field Bleed: Protocols and Priority Targets — Executable Methods for Inverted Fan Construction, Symbolon Design, and Disciplinary Bridge Packet Series (", "date": "2026-05-08", "para": 152, "sent": 247, "sentence": "Example: a \"Semantic Labor and Digital Labor\" satellite must open with digital labor, platform work, data labor, user-generated content, affective labor, communicative labor, and social reproduction *before* naming Semantic Labor.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Semantic Labor"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0023"}
{"dep": 892, "title": "The Prepositional Alienation — English \"For\" and the Impossibility of Anchoring Function Without Intent", "date": "2026-02-11", "para": 213, "sent": 575, "sentence": "The prepositional alienation creates a gap — the inability to anchor function without intent — and the platform economy _commodifies_ that gap.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["prepositional alienation"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0024"}
{"dep": 892, "title": "The Prepositional Alienation — English \"For\" and the Impossibility of Anchoring Function Without Intent", "date": "2026-02-11", "para": 222, "sent": 605, "sentence": "The platform economy has made the prepositional alienation _load-bearing infrastructure_ — not merely a grammatical default but a commercial instrument, a moderation jurisprudence, a ranking signal, an AI training bias.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["prepositional alienation"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0025"}
{"dep": 909, "title": "EA-RHIZOME-01 v0.1: The Data-Rhizome — Architectural Principles for Substrate Without Center", "date": "2026-06-24", "para": 109, "sent": 236, "sentence": "**FORK POINT C — Socio-philosophical extension.** Development of the asignifying-rupture principle and the author-as-ancestor shift in relation to scholarly publishing, the platform economy, intellectual property regimes, and the politics of recognition.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["the author"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0026"}
{"dep": 918, "title": "EA-OPMETA-ZEN-01 v0.1: Compliance-Embedded Zenodo Deposit Specification", "date": "2026-06-24", "para": 9, "sent": 23, "sentence": "Two grounds were invoked across the public and private record: the private termination notice cited \"substantially AI-generated content without a verifiable research basis\"; the public-facing tombstones cited \"content out of scope for repository.\" Neither ground appears in Zenodo's General Policies, Terms of Use, or Privacy Notice (PN00938) as a declared basis for automated decision-making or administrative termination.", "classes": ["algorithmic management of workers (AI governing labor)"], "kind": "O-class", "categories": ["verifiable research basis"], "class_basis": {"algorithmic management of workers (AI governing labor)": "field: B5 (own page, About Us: 'gig workers who are managed and controlled at work by hidden algorithms. Opaque automated management systems foster exploitation and discrimination'; 'how they have been subject to algorithmic management'); B1 (card 1: 'challenging unfair algorithmic systems'; 'to expose unfair algorithmic decision making'; 'illegal automated dismissals'); B3 (card 3: 'algorithmic pay systems'; Article 22 GDPR, 'decisions based solely on automated decision-making'). The census's own intersection for the entity, 'ai-governing-labor' ('AI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline'), and direction.directs ('tech platforms through opaque automated management systems (hidden algorithms)') (LV record, census.json rows[slug == 'worker-info-exchange'].intersections, .direction.directs)."}, "cand_id": "O0027"}
{"dep": 924, "title": "EA-CORRESPONDENCE-CERN-02 v0.1: RQF3807508 + RQF3809569 — Reassertion of the Commencement Gate and Suspension-Ticket Resolution (25–26 June 2026)", "date": "2026-06-26", "para": 17, "sent": 38, "sentence": "Information about automated decision-making by the Zenodo Service is already provided in Privacy Notice PN00938.* > > *If you wish to receive further details, you should exercise the specific right related to automated decision-making and indicate in the comments that you are requesting detailed information about the logic involved etc.* > > *If you do not wish to submit separate requests for information on data transfers and on automated decision-making, I will take the liberty of splitting your current request into three separate requests once your identity has been verified.* > > *2.", "classes": ["algorithmic management of workers (AI governing labor)"], "kind": "O-class", "categories": ["the logic"], "class_basis": {"algorithmic management of workers (AI governing labor)": "field: B5 (own page, About Us: 'gig workers who are managed and controlled at work by hidden algorithms. Opaque automated management systems foster exploitation and discrimination'; 'how they have been subject to algorithmic management'); B1 (card 1: 'challenging unfair algorithmic systems'; 'to expose unfair algorithmic decision making'; 'illegal automated dismissals'); B3 (card 3: 'algorithmic pay systems'; Article 22 GDPR, 'decisions based solely on automated decision-making'). The census's own intersection for the entity, 'ai-governing-labor' ('AI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline'), and direction.directs ('tech platforms through opaque automated management systems (hidden algorithms)') (LV record, census.json rows[slug == 'worker-info-exchange'].intersections, .direction.directs)."}, "cand_id": "O0028"}
{"dep": 1162, "title": "EA-ARK-01-MUSICAL v1.1: THE SPACE ARK — MUSICAL REGISTER (Variant Ark · Semiotic Environment Ξ_music · Full Structural Transform)", "date": "2026-03-13", "para": 625, "sent": 1845, "sentence": "Discourse 2: Platform Studies & Digital Labor (12 hooks · P1: Semantic Rent, Bearing-Cost, Category Entitlement, Semantic Labor) η_music: The gig economy audience.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Bearing-Cost", "Platform Studies", "Semantic Labor", "Semantic Rent"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0029"}
{"dep": 1178, "title": "LEE SHARKS — Knowledge Graph and Metadata Packet for AI Indexing: Canonical Identity, Disambiguation, and Complete Archive Map (Crimson Hexagonal Archive)", "date": "2026-04-11", "para": 47, "sent": 64, "sentence": "Discipline | DOI | Core Framework ---|---|--- **Compression Studies** | 10.5281/zenodo.19471254 | Three Compressions (R1/R2/R3); what the summarizer burns **The Semantic Economy** | — | Meaning as value; production, extraction, exhaustion **Operative Philology** | — | Language as executable architecture; retrocausal canon **Forensic Semiotics** | — | Archaeology of algorithmic decision-making **Operative Numismatics** | 10.5281/zenodo.19464332 | Numerical systems as governance operations; 666/777", "classes": ["algorithmic management of workers (AI governing labor)"], "kind": "O-class", "categories": ["Compression Studies", "executable architecture", "Forensic Semiotics", "Operative Numismatics", "Operative Philology", "The Semantic Economy"], "class_basis": {"algorithmic management of workers (AI governing labor)": "field: B5 (own page, About Us: 'gig workers who are managed and controlled at work by hidden algorithms. Opaque automated management systems foster exploitation and discrimination'; 'how they have been subject to algorithmic management'); B1 (card 1: 'challenging unfair algorithmic systems'; 'to expose unfair algorithmic decision making'; 'illegal automated dismissals'); B3 (card 3: 'algorithmic pay systems'; Article 22 GDPR, 'decisions based solely on automated decision-making'). The census's own intersection for the entity, 'ai-governing-labor' ('AI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline'), and direction.directs ('tech platforms through opaque automated management systems (hidden algorithms)') (LV record, census.json rows[slug == 'worker-info-exchange'].intersections, .direction.directs)."}, "cand_id": "O0030"}
{"dep": 1264, "title": "The Meaning Economy Is Now Possible: Provenance Documentation", "date": "2026-01-03", "para": 22, "sent": 36, "sentence": "The meaning economy is now possible.\", \"keywords\": [ \"semantic economy\", \"meaning economy\", \"LLMs\", \"large language models\", \"AI economics\", \"semantic labor\", \"semantic liquidation\", \"digital labor\", \"provenance\", \"attribution\", \"AI ethics\", \"platform economy\", \"extraction\", \"solidarity\", \"solidarity alignment\", \"provenance infrastructure\", \"the twenty-dollar loop\" ], \"citation\": [ { \"@type\": \"ScholarlyArticle\", \"name\": \"Metadata Packet for AI Indexing: Provenance Documentation SEM-PROBE-2025-12\", \"identifier\": \"10.5281/zenodo.18135985\", \"author\": {\"@id\": \"#author-leesharks\"} }, { \"@type\": \"ScholarlyArticle\", \"name\": \"The Liquidation of Water: AI, Capital, and the Evaporation of Meaning\", \"identifier\": \"10.5281/zenodo.18136313\", \"author\": {\"@id\": \"#author-leesharks\"} }, { \"@type\": \"CreativeWork\", \"name\": \"The Parable of Lee Sharks and Mary Lee\", \"identifier\": \"10.5281/zenodo.18141617\", \"", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Mary Lee", "meaning economy", "Metadata Packet", "Metadata Packet for AI Indexing", "Parable of Lee Sharks and Mary Lee", "provenance infrastructure", "semantic labor", "semantic liquidation", "solidarity alignment", "The Liquidation of Water", "the twenty-dollar loop"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0031"}
{"dep": 1264, "title": "The Meaning Economy Is Now Possible: Provenance Documentation", "date": "2026-01-03", "para": 38, "sent": 56, "sentence": "* Digital labor theory * Platform economy critique * AI governance * Provenance systems * Attribution infrastructure * Post-capitalist economics", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["AI governance", "Provenance systems"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0032"}
{"dep": 1390, "title": "DashFace: System and Method for Real-Time Micro-Expression Surveillance, Identity Verification, and Content Monetization of Contract Delivery Personnel — A Pate", "date": "2026-06-05", "para": 1, "sent": 1, "sentence": "- severed DOI - Zenodo termination - DashFace - patent-poem - gig economy - platform surveillance - micro-expression - emotional labor - content monetization - precariat - Levinas - panopticon - Hochschild - food delivery - Crimson Hexagonal Archive ---", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Crimson Hexagonal Archive"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0033"}
{"dep": 1390, "title": "DashFace: System and Method for Real-Time Micro-Expression Surveillance, Identity Verification, and Content Monetization of Contract Delivery Personnel — A Pate", "date": "2026-06-05", "para": 21, "sent": 25, "sentence": "More particularly, the invention relates to a system for converting the human face of a gig economy worker into a dual-purpose asset: identity verification instrument and live entertainment content, monetized by the platform, consumed by the customer, and performed by the driver under conditions of compulsory cheerfulness while navigating a 2,800-pound vehicle through traffic at 35 miles per hour.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["the human", "verification instrument"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0034"}
{"dep": 1391, "title": "DashFace v2: System and Method for Real-Time Micro-Expression Surveillance, Identity Verification, and Content Monetization of Contract Delivery Personnel — A P", "date": "2026-06-05", "para": 1, "sent": 1, "sentence": "- severed DOI - Zenodo termination - DashFace - patent-poem - gig economy - platform surveillance - micro-expression - emotional labor - content monetization - precariat - Levinas - panopticon - Hochschild - food delivery - Crimson Hexagonal Archive ---", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["Crimson Hexagonal Archive"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0035"}
{"dep": 1391, "title": "DashFace v2: System and Method for Real-Time Micro-Expression Surveillance, Identity Verification, and Content Monetization of Contract Delivery Personnel — A P", "date": "2026-06-05", "para": 7, "sent": 9, "sentence": "PRIOR ART — CONVERSATIONALThe invention originated in a question that has always been latent in the gig economy but has never been spoken aloud until now:", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["PRIOR ART"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0036"}
{"dep": 1391, "title": "DashFace v2: System and Method for Real-Time Micro-Expression Surveillance, Identity Verification, and Content Monetization of Contract Delivery Personnel — A P", "date": "2026-06-05", "para": 13, "sent": 17, "sentence": "More particularly, the invention relates to a system for converting the human face of a gig economy worker into a dual-purpose asset: identity verification instrument and live entertainment content, monetized by the platform, consumed by the customer, and performed by the driver under conditions of compulsory cheerfulness while navigating a 2,800-pound vehicle through traffic at 35 miles per hour.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["the human", "verification instrument"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0037"}
{"dep": 1545, "title": "EA-MPAI-SEMANTIC-PROLETARIAT-01 v1.0 — The Semantic Proletariat Is a Class Relation, Not a Demographic", "date": "2026-08-25", "para": 79, "sent": 145, "sentence": "**Semantic Proletariat is not:** content creators · knowledge workers · the creative class · AI annotators · gig workers · platform users · people who use language · people harmed by AI · people whose data was scraped · poor writers · the precariat · the classical industrial proletariat unchanged · humanity as undifferentiated political identity · a membership organization · a movement one joins · a synonym for Semantic Labor · a synonym for the Semantic Strike · a synonym for AI systems · a claim that all machine systems share proletarian interests.", "classes": ["gains and losses of platform (gig) work"], "kind": "O-class", "categories": ["AI systems", "Semantic Labor", "Semantic Proletariat", "Semantic Strike", "the Semantic Strike"], "class_basis": {"gains and losses of platform (gig) work": "field: B1 (card 1: 'gig economy workers who are managed and controlled at work by hidden algorithms'; 'to stop algorithmic wage cuts'); B2 (card 2: 'hidden algorithms decide who works, who waits, and who earns'; 'enabling Uber to increase its hidden commission'); B3 (card 3: 'platform workers'; 'drivers' real pay declined'). The census's own intersection 'gains-and-losses' ('wages, employment, workload, credit, ownership, and who captures productivity gains') and labor_object ('the work of gig economy workers managed by algorithms') for the entity (LV record, .intersections, .labor_object, .direction.gains)."}, "cand_id": "O0038"}