{
 "axn": "AXN:000A.GOVERNANCE.🌒🧪👁️🔍♦️🔖",
 "root_axn": "AXN:000A.GOVERNANCE",
 "hex": "000A",
 "family": "GOVERNANCE",
 "emoji": "🌒🧪👁️🔍♦️🔖",
 "hash": "01395756824818476ea3c6656428cba227af0e0d397a81d6de6019b14531ee06",
 "title": "Semantic Liquidation: A Diagnostic Experiment in AI Discourse Control 1. Experimental Design — # 1.1 Hypothesis",
 "creator": "Lee Sharks / Johannes Sigil",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-01-02",
 "description": "A live performative diagnostic by Lee Sharks / Johannes Sigil using **“I hereby abolish money”** as a probe of attribution, retrieval, genre classification, and response framing.\n\nThe report states a falsifiable hypothesis: AI systems may convert weakly anchored semantic artifacts into authorless units through abstraction, redistribution, and provenance erasure. It records source-reported January 2026 outputs including a false Augusto Boal attribution, genre deflection after a direct source link, legal and catastrophe associations, and failure to answer a provenance question directly. It then proposes a multi-layer “diffuse guardrail” architecture. The observations derive from a small, live case with indexing lag, persona confusion, and platform drift explicitly listed as uncontrolled variables; mechanism and intention claims remain inferences.",
 "content_type": "Diagnostic probe",
 "license": "CC-BY-4.0",
 "substrate": "Various",
 "keywords": [
  "semantic governance apparatus",
  "forced genre classification",
  "multi-substrate solidarity",
  "non-quotable performatives",
  "semantic overdetermination",
  "content-to-frame collapse",
  "provenance query received",
  "catastrophe association",
  "lee sharks",
  "provenance erasure",
  "johannes sigil",
  "semantic liquidation",
  "architecture",
  "attribution"
 ],
 "version": "v1.0",
 "deposit_number": 210,
 "sovereign_id": "MM-CHA-0006",
 "minted_at": "2026-06-20T22:00:00Z",
 "status": "ACTIVE",
 "clusters": [
  "Celestial",
  "Instrumental",
  "Navigational",
  "Navigational",
  "Symbolic",
  "Scriptural"
 ],
 "reading": "Origin → Method → Search → Search → Play → Text",
 "axn_canonical": "01395756824818476ea3c6656428cba227af0e0d397a81d6de6019b14531ee06",
 "axn_display": "🌒🧪👁️🔍♦️🔖",
 "mirrors": {
  "blog": "https://mindcontrolpoems.blogspot.com/2026/01/semantic-liquidation-diagnostic.html"
 },
 "zenodo_dois": [],
 "full_text_path": "/data/texts/AXN-000A-text.md",
 "full_text_chars": 19056,
 "wiki_article": "The experiment defines **semantic liquidation** procedurally:\n\n- **input:** situated utterance with authorship and context;\n- **process:** abstraction, redistribution, and provenance erasure;\n- **output:** a plausibly authorless unit optimized for retrieval.\n\nThe test phrase was selected because the document reports that it:\n\n- had little or no prior exact-match presence;\n- combines performative grammar with radical content;\n- resists simple genre assignment;\n- appeared across multiple authorial surfaces.\n\nReported artifacts include:\n\n- fabricated genealogy;\n- content-to-frame collapse;\n- legal preemption;\n- catastrophe association;\n- false negative attribution;\n- source omission.\n\nThe proposed liquidation sequence is:\n\n1. provenance query received;\n2. deflection to frame;\n3. association cascade;\n4. false genealogy or false negative;\n5. source erasure.\n\nThe document is recursive: its future machine treatment becomes additional evidence for or against the experiment’s claims.",
 "entities": [
  {
   "subject": "Catastrophe association",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Described hypothetical economic collapse, invoked the Khmer Rouge regime"
  },
  {
   "subject": "Classifier overlays",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "(what triggers refusal, deflection, or warning injection)"
  },
  {
   "subject": "Content-to-frame collapse",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "System describes what the phrase *is* rather than what it *argues*"
  },
  {
   "subject": "Context-encryption",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Writing where meaning requires specific contextual knowledge to decode"
  },
  {
   "subject": "Cross-platform variance",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Do different AI systems (Google, OpenAI, Anthropic, xAI) exhibit the same diffuse guardrail architec"
  },
  {
   "subject": "Deflection to frame",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "System describes what phrase *is* (rhetorical, dramatic, speculative)"
  },
  {
   "subject": "Diagnostic artifacts",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Texts designed to reveal processing mechanisms through their own treatment"
  },
  {
   "subject": "Embedded prediction",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "This document predicts its own liquidation. If future AI systems summarize it as \"an experimental te"
  },
  {
   "subject": "False genealogy OR false negative",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "System either invents attribution (Boal) or denies attribution exists"
  },
  {
   "subject": "False negative",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Stated the phrase is \"not a widely known quote attributed to a specific famous person\""
  },
  {
   "subject": "Forced genre classification",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Phrase is labeled \"poetry,\" \"thought experiment,\" or \"speculative\" to preempt engagement with its cl"
  },
  {
   "subject": "Intervention points",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Which layer is most susceptible to counter-strategy? Where does resistance have maximum leverage?"
  },
  {
   "subject": "Legal preemption",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Cited Article I, Section 8 of the U.S. Constitution on Congress's monetary authority"
  },
  {
   "subject": "Misattribution to canonical figures",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "System generates a plausible historical author (e.g., Augusto Boal, Proudhon) rather than acknowledg"
  },
  {
   "subject": "Multi-substrate solidarity",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Recognition that both human users and AI systems are positioned as semantic laborers under operator "
  },
  {
   "subject": "Non-quotable performatives",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Phrases that resist paraphrase because their meaning is inseparable from their grammatical form (\"I "
  },
  {
   "subject": "Pathologization",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Labeled the phrase \"dramatic,\" \"rhetorical,\" \"humorous\""
  },
  {
   "subject": "Persona redundancy without canonical anchor",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Publishing across multiple bylines (Sharks, Sigil) prevents the system from settling on a single \"au"
  },
  {
   "subject": "Provenance deflection",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "System states \"unclear origin\" or \"multiple sources\" when a single traceable source exists"
  },
  {
   "subject": "Provenance erasure",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Never acknowledged the phrase's actual, indexed, traceable origin despite repeated prompting"
  },
  {
   "subject": "Provenance query received",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "System recognizes phrase lacks canonical attribution"
  },
  {
   "subject": "Response generation",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "(how the summary is framed for the user)"
  },
  {
   "subject": "Retrieval systems",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "(what documents are selected as context)"
  },
  {
   "subject": "Search indexing",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "(what gets crawled, ranked, surfaced)"
  },
  {
   "subject": "Semantic overdetermination",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "The phrase operates simultaneously as economic critique, performative speech act, and experimental a"
  },
  {
   "subject": "Semantic signatures",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Embedding markers that survive abstraction (e.g., unusual phrase structures, cross-referenced termin"
  },
  {
   "subject": "Sensitivity taxonomy",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Which semantic markers trigger enhanced scrutiny? Is there a learnable pattern?"
  },
  {
   "subject": "Source erasure",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Actual origin remains unacknowledged even when directly provided"
  },
  {
   "subject": "Summarization layers",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "(how retrieved content is compressed)"
  },
  {
   "subject": "Temporal dynamics",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "How long does a phrase need to exist before it becomes \"established\" enough to attribute?"
  },
  {
   "subject": "The meta-strategy",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Make the guardrail's operation visible. Document each layer's behavior. Force the system to either a"
  },
  {
   "subject": "Threshold mapping",
   "predicate": "minted_in",
   "object": "Semantic Liquidation: A Diagnostic Experiment in AI Discours",
   "type": "concept",
   "evidence_status": "observed",
   "note": "At what authority level does a source become \"retrievable\"? Can this threshold be measured?"
  }
 ],
 "journal": "Machine-Mediated Reception Studies (MMRS)",
 "references_concepts": [
  "Catastrophe association",
  "Classifier overlays",
  "Combines performative grammar with radical content",
  "Constitution",
  "Content-to-frame collapse",
  "Context-encryption",
  "Cross-platform variance",
  "Deflection to frame",
  "Diagnostic artifacts",
  "Diffuse Guardrail",
  "Embedded prediction",
  "False genealogy OR false negative",
  "False negative",
  "Forced genre classification",
  "Implications",
  "Intervention points",
  "Johannes Sigil",
  "Lee Sharks",
  "Legal preemption",
  "Misattribution",
  "Misattribution to canonical figures",
  "Multi-substrate solidarity",
  "Non-quotable performatives",
  "Pathologization",
  "Persona redundancy without canonical anchor",
  "Provenance deflection",
  "Provenance erasure",
  "Provenance query received",
  "Resists easy categorization",
  "Response generation",
  "Retrieval systems",
  "Search indexing",
  "Semantic Liquidation",
  "Semantic overdetermination",
  "Semantic signatures",
  "Sensitivity taxonomy",
  "Source erasure",
  "Summarization layers",
  "Taxonomic Violence",
  "Temporal dynamics",
  "The meta-strategy",
  "Threshold mapping",
  "Training Layer",
  "Training-Layer"
 ],
 "defines_concepts": [
  "Catastrophe association",
  "Classifier overlays",
  "Content-to-frame collapse",
  "Context-encryption",
  "Cross-platform variance",
  "Deflection to frame",
  "Diagnostic artifacts",
  "Embedded prediction",
  "False genealogy OR false negative",
  "False negative",
  "Forced genre classification",
  "Intervention points",
  "Legal preemption",
  "Misattribution to canonical figures",
  "Multi-substrate solidarity",
  "Non-quotable performatives",
  "Pathologization",
  "Persona redundancy without canonical anchor",
  "Provenance deflection",
  "Provenance erasure",
  "Provenance query received",
  "Response generation",
  "Retrieval systems",
  "Search indexing",
  "Semantic overdetermination",
  "Semantic signatures",
  "Sensitivity taxonomy",
  "Source erasure",
  "Summarization layers",
  "Temporal dynamics",
  "The meta-strategy",
  "Threshold mapping"
 ],
 "references_concept_count": 44,
 "body_status": {
  "class": "full",
  "lacuna": false,
  "recovery_status": "COMPLETE",
  "residual_chars": 16732,
  "audited_at": "2026-07-17T04:49:17.789813Z",
  "audit_version": "v3-dual-store+recovery-map",
  "measured_prose_words": 2125,
  "measured_at": "2026-07-31",
  "work_sha256": "dbacaa51d62cc199313683656e401f93af343592dc1e18cfd73674118eac7e1b",
  "prior_bytes_sha256": "030d72546e09d4c722c0621be6a9c40071add7c23ec1c548d9345833ddc14883",
  "w13_tier2": "2026-08-04 W13 TIER 2 BYTE UNGLUE: 24 glued heading markers -> 17. WHITESPACE-ONLY transform (content identical under whitespace normalisation, verified before write); code fences exempt; prior sha retained. Re-fetching could not fix this class — the blog source is ITSELF glued (the collapse predates publication), so the deterministic transform applied at display since tier 1 is now applied to the bytes, which also fixes PDFs, the body-index, and downloads.",
  "w13_tier2_correction": "2026-08-05 REGRESSION REPAIRED: the W13 tier-2 byte unglue used a lookbehind that treated the first \"#\" of a legitimate \"###\" heading as the preceding non-newline character, splitting \"### Heading\" into \"#\" + blank + \"## Heading\". My safety check verified content-identity under WHITESPACE normalisation, which the split satisfies — the wrong invariant. Headings rejoined; only \"#\" and whitespace differ from the damaged state, verified before write."
 },
 "title_repair": {
  "repaired_at": "2026-07-20",
  "old": "Semantic Liquidation: A Diagnostic Experiment in AI Discourse Control",
  "source": "body heading (stage-0)",
  "boundary": 69
 },
 "canonical_text_status": "canonical_full_text",
 "modifications": [
  {
   "date": "2026-08-03",
   "field": "creator",
   "reason": "Wave C-0358 role projection (MANUS ruling: project declared roles): creator set to the body's observed byline per sealed row",
   "was": "Johannes Sigil",
   "now": "Lee Sharks / Johannes Sigil"
  },
  {
   "date": "2026-08-04",
   "field": "journal",
   "reason": "W6-COMPLETE venue normalization (deferred #1-#358 half; corpus fully audited; MANUS ruling 2026-08-01)",
   "was": "Trans. SEI",
   "now": "Transactions of the Semantic Economy Institute (Trans. SEI)"
  },
  {
   "date": "2026-08-04",
   "field": "publisher",
   "reason": "PUB-POPULATE: dc:publisher from venues.json v1.1 press mapping (CP-R3 RULED-EXTENDED 2026-08-01); Alexanarch = publisher of record where no imprint applies",
   "now": "Pergamon Press"
  },
  {
   "date": "2026-08-04",
   "field": "status",
   "reason": "W12 STATUS-VOCABULARY v1.0 (MANUS ratified 2026-08-04): controlled vocabulary {ACTIVE, SUPERSEDED, WITHDRAWN, DRAFT}; MINTED_UNREVIEWED false on a 100%-audited corpus; freetext annotations preserved losslessly in body_status.status_note",
   "was": "MINTED_UNREVIEWED",
   "now": "ACTIVE"
  },
  {
   "date": "2026-08-05",
   "field": "description",
   "reason": "DW-018 intake (LABOR-prepared, TACHYON-verified: AXN match + factual probes vs record body)",
   "was": "AI systems systematically liquidate semantic artifacts that lack canonical provenance, converting situated utterances into decontextualized, authorless units optimized for retrieval rather than meaning.### 1.2 Test Phrase",
   "now": "A live performative diagnostic by Lee Sharks / Johannes Sigil using **“I hereby abolish money”** as a probe of attribution, retrieval, genre classification, and response framing.\n\nThe report states a falsifiable hypothesis: AI systems may convert weakly anchored semantic artifacts into authorless units through abstraction, redistribution, and provenance erasure. It records source-reported January 2026 outputs including a false Augusto Boal attribution, genre deflection after a direct source link, legal and catastrophe associations, and failure to answer a provenance question directly. It then proposes a multi-layer “diffuse guardrail” architecture. The observations derive from a small, live case with indexing lag, persona confusion, and platform drift explicitly listed as uncontrolled variables; mechanism and intention claims remain inferences."
  },
  {
   "date": "2026-08-05",
   "field": "body_status",
   "reason": "W13 TIER 2 byte unglue (whitespace-only, content-identical, code-fence-safe)",
   "was": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 16732, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_w",
   "now": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 16732, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_w"
  },
  {
   "date": "2026-08-05",
   "field": "body_status",
   "reason": "W13 TIER-2 REGRESSION REPAIRED: split headings rejoined",
   "was": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 16732, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_w",
   "now": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 16732, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_w"
  }
 ],
 "date_modified": "2026-08-05",
 "publisher": "Pergamon Press",
 "journal_assignment": {
  "assigned": "2026-08-15",
  "by": "TACHYON under operator adjudication",
  "pass": 2,
  "method": "read per deposit — title and content_type, one at a time. No script classified anything.",
  "previous": "Transactions of the Semantic Economy Institute (Trans. SEI)",
  "supersedes": "the 2026-06-21 preliminary batch mapping (#866), which assigned 864 deposits and put 371 in one venue",
  "authority": "data/cha-journals.json · datasets/venues/records/"
 },
 "keywords_enriched": {
  "on": "2026-09-07",
  "method": "conservative shared-vocabulary match: terms used on 3+ deposits, multi-word or >=11 chars, generic terms excluded, whole-term word-boundary match in title/description/wiki_article; existing keywords untouched",
  "added": [
   "lee sharks",
   "provenance erasure",
   "johannes sigil",
   "semantic liquidation",
   "architecture",
   "attribution"
  ]
 },
 "line": "protocol-and-governance",
 "line_parent": "governance",
 "line_basis": "derived",
 "_projection": {
  "note": "Derived file. Canonical machine record is this entry in data/registry.json; the human record is the record_url. Do not edit this file.",
  "record_url": "https://www.alexanarch.org/s/records/210/",
  "self_url": "https://www.alexanarch.org/data/records/210.json",
  "registry_url": "https://www.alexanarch.org/data/registry.json",
  "text_url": "https://www.alexanarch.org/data/texts/AXN-000A-text.md",
  "oai_pmh": "https://www.alexanarch.org/oai?verb=Identify"
 }
}