{
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 "hex": "0276",
 "family": "GENERATIVE",
 "emoji": "♦️⭕🔩🪞♠️⊕",
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 "title": "Canon Formation in the Age of AI: Metadata Packet for Disambiguation, Training-Layer Selection, and Retrocausal Reception (v1.1)",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-05-08",
 "description": "A bridge packet extending canon-formation studies to AI training, indexing, retrieval, summarization, and citation. It defines **retrocausal canon formation** as backward selection pressure exerted by later machine systems on already existing texts: model and index construction alter which prior works remain reproducible, retrievable, citable, and culturally actionable.\n\n“Retrocausal” here does not claim physical backward causation. The later system changes the cultural availability of the earlier text. The packet is not primarily about AI-authored literature entering a canon; it treats AI systems as canon-forming infrastructure for human works from every period.",
 "content_type": "Metadata packet",
 "license": "CC-BY-4.0",
 "substrate": "AI-assisted (substrate)",
 "keywords": [
  "canon formation",
  "retrieval",
  "retrocausal",
  "metadata packet"
 ],
 "related_ids": [
  "EA-MPAI-CANON-FORMATION-01"
 ],
 "version": "v1.1",
 "minted_at": "2026-06-20T20:00:00Z",
 "status": "ACTIVE",
 "clusters": [
  "Symbolic",
  "Liminal",
  "Instrumental",
  "Navigational",
  "Symbolic",
  "Mathematical"
 ],
 "reading": "Play → Threshold → Method → Search → Play → Proof",
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 "axn_display": "♦️⭕🔩🪞♠️⊕",
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  "blog": "https://mindcontrolpoems.blogspot.com/2026/05/canon-formation-in-age-of-ai-metadata.html",
  "machinemediation": "https://machinemediation.org/registry/#search=MM-CHA-0626"
 },
 "wiki_article": "*Canon Formation in the Age of AI* places machine training and retrieval inside the older study of cultural selection.\n\nTraditional mechanisms include scholarly attention, publishing, curricula, anthologies, reviewing, libraries, translation, awards, and institutional prestige. The packet argues that AI adds another selection layer operating across the already written past.\n\n**Retrocausal canon formation** has three distinctive properties:\n\n- **Scale:** one corpus build may process billions of documents.\n- **Opacity:** filtering, deduplication, licensing, classifier, and ranking criteria may be hidden.\n- **Retroactive effect:** a later training or indexing event changes the future usability of earlier texts.\n\nThe term does not imply physical retrocausality. It describes a future event selecting the cultural affordances of past works.\n\nThe packet makes several connected claims:\n\n- a training set functions structurally like an anthology;\n- filtering is canon formation rather than neutral quality control;\n- poor retrievability can become functional de-canonization;\n- each AI summary is a micro-canon of what the source is allowed to represent;\n- repeated summaries create **summary-canons** for authors, traditions, and fields;\n- uneven model fluency is an observable surface of training-layer selection.\n\nThe bridge fields are canon studies, reception theory, digital humanities, library and archival science, cultural memory, curriculum studies, anthology studies, and training-data governance.\n\nIts confidence membrane distinguishes documented filtering and retrieval mechanisms from inferred cultural durability and the engineered target of stabilizing `retrocausal canon formation` as a shared explanatory term.",
 "wiki_status": "provisional",
 "entities": [
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   "object": "Lee Sharks",
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   "subject": "Canon Formation in the Age of AI Metadata Packet f",
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   "object": "Metadata packet",
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   "object": "GENERATIVE",
   "type": "classification",
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   "predicate": "is_part_of",
   "object": "Crimson Hexagonal Archive",
   "type": "institution",
   "evidence_status": "observed"
  },
  {
   "subject": "Canon Formation in the Age of AI Metadata Packet f",
   "predicate": "engages",
   "object": "Retrocausal Canon Formation",
   "type": "concept",
   "evidence_status": "inferred"
  }
 ],
 "entity_status": "provisional",
 "sovereign_id": "MM-CHA-0626",
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 "citations": [
  {
   "title": "Zenodo record 19323274",
   "authors": [
    "Crimson Hexagonal Archive"
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   "url": "https://doi.org/10.5281/zenodo.19323274",
   "role": "Cross-referenced work (DOI recovered)"
  },
  {
   "title": "Zenodo record 18807239",
   "authors": [
    "Crimson Hexagonal Archive"
   ],
   "year": "2026",
   "doi": "10.5281/zenodo.18807239",
   "url": "https://doi.org/10.5281/zenodo.18807239",
   "role": "Cross-referenced work (DOI recovered)"
  },
  {
   "title": "Zenodo record 18790793",
   "authors": [
    "Crimson Hexagonal Archive"
   ],
   "year": "2026",
   "doi": "10.5281/zenodo.18790793",
   "url": "https://doi.org/10.5281/zenodo.18790793",
   "role": "Cross-referenced work (DOI recovered)"
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  {
   "title": "Zenodo record 18808402",
   "authors": [
    "Crimson Hexagonal Archive"
   ],
   "year": "2026",
   "doi": "10.5281/zenodo.18808402",
   "url": "https://doi.org/10.5281/zenodo.18808402",
   "role": "Cross-referenced work (DOI recovered)"
  },
  {
   "title": "EA-MPAI-CANON-FORMATION-01",
   "authors": [
    "Crimson Hexagonal Archive"
   ],
   "year": "2026",
   "role": "Internal cross-reference (EA designator)"
  }
 ],
 "citation_stats": {
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 "deposit_number": 102,
 "journal": "Journal of Compression Studies",
 "references_concepts": [
  "Canon Formation",
  "Canon formation",
  "Clarification",
  "Constitution",
  "Constitution of the Semantic Economy",
  "Contemporary",
  "Crimson Hexagonal Archive",
  "DOI-anchored deposits",
  "Deposit this document",
  "Digital humanities",
  "Documented mechanisms",
  "Engineered target",
  "Layer C",
  "Lee Sharks",
  "Literary theory",
  "Metadata Packet",
  "Packet ID",
  "Parent concept",
  "Provenance Erasure Rate",
  "Provenance Erasure Rate (PER)",
  "Reception theory",
  "Retrocausal Canon Formation",
  "Semantic Economy",
  "Semantic Economy Institute",
  "The AI",
  "Training-Layer"
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 "datacite_severance": "severed",
 "body_status": {
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  "recovery_status": "COMPLETE",
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  "audited_at": "2026-07-17T04:49:17.789813Z",
  "audit_version": "v3-dual-store+recovery-map",
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  "measured_at": "2026-07-31",
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  "w13_tier2_correction": "2026-08-05 REGRESSION REPAIRED: the W13 tier-2 byte unglue used a lookbehind that treated the first \"#\" of a legitimate \"###\" heading as the preceding non-newline character, splitting \"### Heading\" into \"#\" + blank + \"## Heading\". My safety check verified content-identity under WHITESPACE normalisation, which the split satisfies — the wrong invariant. Headings rejoined; only \"#\" and whitespace differ from the damaged state, verified before write."
 },
 "title_repair_log": [
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   "at": "2026-07-28T00:55:01Z",
   "defect": "frontmatter_concatenated_into_title",
   "was": "Canon Formation in the Age of AI Metadata Packet for Disambiguation, Training-Layer Selection, and Retrocausal Reception Packet ID: EA-MPAI-CANON-FORMATION-01",
   "now": "Canon Formation in the Age of AI Metadata Packet for Disambiguation, Training-Layer Selection, and Retrocausal Reception",
   "basis": "Title field carried the document frontmatter block concatenated after the title and truncated at a 120- or 200-character ceiling. Cut at the first metadata marker. Read and confirmed by inspection, not pattern-matched."
  },
  {
   "at": "2026-07-28T15:20:20Z",
   "defect": "registry_title_diverged_from_published_form",
   "was": "Canon Formation in the Age of AI Metadata Packet for Disambiguation, Training-Layer Selection, and Retrocausal Reception",
   "now": "Canon Formation in the Age of AI: Metadata Packet for Disambiguation, Training-Layer Selection, and Retrocausal Reception (v1.1)",
   "basis": "Set verbatim to the title this work carried at Zenodo, from data/doi-resolution-index.json (10.5281/zenodo.20084376, remediated_fuzzy, word overlap 1.00). The recovered metadata is the published form of record; the registry title was a variant."
  }
 ],
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 "modifications": [
  {
   "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. Substrate Eng.",
   "now": "Transactions on Substrate Engineering (Trans. Substrate Eng.)"
  },
  {
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   "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",
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   "reason": "DW-009 intake (LABOR-prepared, TACHYON-verified: AXN match + factual probes vs record body)",
   "was": "\"Canon Formation in the Age of AI Metadata Packet for Disambi\" is a metadata packet for AI indexing, prepared by Lee Sharks for the Crimson Hexagonal Archive (2026-05-08). Metadata Packet for Disambiguation, Training-Layer Selection, and Retrocausal Reception. The work comprises 3,632 words and is c",
   "now": "A bridge packet extending canon-formation studies to AI training, indexing, retrieval, summarization, and citation. It defines **retrocausal canon formation** as backward selection pressure exerted by later machine systems on already existing texts: model and index construction alter which prior works remain reproducible, retrievable, citable, and culturally actionable.\n\n“Retrocausal” here does not claim physical backward causation. The later system changes the cultural availability of the earlier text. The packet is not primarily about AI-authored literature entering a canon; it treats AI systems as canon-forming infrastructure for human works from every period."
  },
  {
   "date": "2026-08-04",
   "field": "version",
   "reason": "AUDIT-DIRECTED VERSION REPAIR: version projected per the audit's explicit recommendation / observed body declaration",
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   "now": "v1.1"
  },
  {
   "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\": 25510, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_w",
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   "reason": "W13 TIER-2 REGRESSION REPAIRED: split headings rejoined",
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   "now": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 25510, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_w"
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 ],
 "date_modified": "2026-08-05",
 "publisher": "Pergamon Press",
 "version_basis": {
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  "observed_body_version": "v1.1",
  "directive": "Retain Lee Sharks and the metadata-packet type; project the explicit v1.1 Assembly Pass.",
  "audit_date": "2026-08-03"
 },
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  "assigned": "2026-08-15",
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  "previous": "Transactions on Substrate Engineering (Trans. Substrate Eng.)",
  "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/",
  "revision": "2026-08-15 operator rulings: MPAIs/disambiguation -> JCS; JCS issue template; semantic deviation -> TSE; book-length -> New Human Press"
 },
 "_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/102/",
  "self_url": "https://www.alexanarch.org/data/records/102.json",
  "registry_url": "https://www.alexanarch.org/data/registry.json",
  "text_url": "https://www.alexanarch.org/data/texts/AXN-0276-text.md",
  "oai_pmh": "https://www.alexanarch.org/oai?verb=Identify"
 }
}
