{
 "deposit_number": 946,
 "hex": "03BE",
 "family": "OPERATIVE",
 "axn": "AXN:03BE.OPERATIVE.📌♦️🔻🕓🧭🪜",
 "emoji": "📌♦️🔻🕓🧭🪜",
 "hash": "4682d16550237d2ac95745f5b8d5e7491bc8b5b6a5467808cba8df33982363f8",
 "axn_canonical": "4682d16550237d2ac95745f5b8d5e7491bc8b5b6a5467808cba8df33982363f8",
 "clusters": [
  "Scriptural",
  "Symbolic",
  "Structural",
  "Temporal",
  "Navigational",
  "Architectural"
 ],
 "axn_reading": "Text -> Play -> Direction -> Duration -> Search -> Foundation",
 "root_axn": "AXN:03BE.OPERATIVE",
 "title": "EA-GOVERNANCE-MEDIUM-01 v0.1: Governance of Medium as Observable Diagnostic",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-07-03",
 "content_type": "Methodological specification",
 "license": "CC-BY-4.0",
 "substrate": "AI-assisted (TACHYON / Claude); MANUS-adjudicated. Concept first articulated by Lee Sharks in external correspondence exchange on the AI-mediated frame, 2026-07-01; developed at deposit length 2026-07-03, incorporating the diagnostic-failure analysis from the EA-FORM-CONTENT-EXTRACTION-01 prospectus per MANUS direction. Assembly review pending.",
 "version": "v0.1",
 "description": "A v0.1 diagnostic specification defining governance of medium as degree of direction against substrate defaults. It critiques form/content categorization, enumerates five observable dimensions, distinguishes governance from bearing, lists practice and reception uses, proposes a metric correlation study, and states the proxy’s limits.",
 "keywords": [
  "governance of medium",
  "observability",
  "form/content distinction",
  "AI-mediated authorship",
  "practice-layer diagnostics",
  "bearing cost",
  "declared mediation",
  "entry vocabulary",
  "distributional measurement"
 ],
 "companion_deposits": [
  "AXN:03B6.OPERATIVE.🌑🪝🦋🔝💜🪸",
  "AXN:03B7.OPERATIVE.🚩✨💛📜🌳🧭",
  "AXN:03BB.GENERATIVE.🐚💎🪄💡🌙🚪",
  "AXN:03BD.FOUNDATIONAL.🪄🌌🏁🌈🗂️🎨"
 ],
 "axn_schema_version": "v2",
 "protocol_version": "alexanarch-deposit-protocol/v1",
 "minted_at": "2026-07-03T02:42:52Z",
 "status": "ACTIVE",
 "status_authorial": "DRAFT_v0_1",
 "mint_source": "direct",
 "full_text_path": "/data/texts/AXN-03BE-text.md",
 "wiki_status": "pending",
 "body_status": {
  "class": "full",
  "lacuna": false,
  "recovery_status": "COMPLETE",
  "residual_chars": 15714,
  "audited_at": "2026-07-17T04:49:17.789813Z",
  "audit_version": "v3-dual-store+recovery-map",
  "measured_prose_words": 2278,
  "measured_at": "2026-07-31"
 },
 "references_concepts": [
  "Diagnostic use",
  "Lee Sharks",
  "TACHYON",
  "TECHNE"
 ],
 "references_concept_count": 4,
 "canonical_text_status": "canonical_full_text",
 "publisher": "Alexanarch — the Crimson Hexagonal Archive",
 "modifications": [
  {
   "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": "Alexanarch — the Crimson Hexagonal Archive"
  },
  {
   "date": "2026-08-06",
   "field": "description",
   "reason": "DW-??? intake (LABOR-prepared, TACHYON-verified: AXN match + factual probes vs record body)",
   "was": "Instrumental companion to EA-COUPLING-01. Governance of medium names the degree of authorial direction applied against a substrate’s default outputs — direction, selection, iteration, constraint, review — as an observable, practice-layer diagnostic for AI-mediated production, replacing the unobservable form/content distinction in that office. Specifies the governance axis, its relation to bearing cost (proxy, not identity), diagnostic uses across practice, reception, exchange, training-corpus, and coupling layers, testable correlation with the distributional metric, explicit limits, and the rival distinction’s remaining legitimate uses. Functions as neutral entry vocabulary for practitioners inside credentialed regimes.",
   "now": "A v0.1 diagnostic specification defining governance of medium as degree of direction against substrate defaults. It critiques form/content categorization, enumerates five observable dimensions, distinguishes governance from bearing, lists practice and reception uses, proposes a metric correlation study, and states the proxy’s limits."
  }
 ],
 "date_modified": "2026-08-06",
 "wiki_article": "**Governance of Medium** replaces an unobservable authorship binary with an inspectable practice axis.\n\nThe paper argues that “form mediation versus content mediation” cannot reliably diagnose AI-assisted production. Translation, tone, and reference selection all alter what a work means, while any attempt to exhibit content prior to expression produces another expression.\n\nGovernance can be inspected. Five dimensions enumerate it: **direction**, **selection**, **iteration**, **constraint**, and **review**. High-governance practice specifies goals that outputs can fail, rejects and revises against stated reasons, imposes nondefault constraints, and gives the bearer authority to reject the final work. Low-governance practice accepts default output with little shaping.\n\nGovernance is not bearing. A highly directed practice may be closed to correction, and a low-governance output may carry upstream bearing laundered through the model. Governance is instead a practical proxy at the production-record layer.\n\nThe vocabulary also serves as an entry point for practitioners whose institutions discourage explicit AI-provenance language. “High-governance LLM assistance” can describe actual practice more truthfully than either purity or total-generation categories, while still leaving fuller provenance work possible.\n\nThe paper proposes testing whether governance correlates with distributional distance from a model’s default output. Agreement would produce a two-layer instrument; disagreement would identify forms of direction that leave little stylistic trace.",
 "journal": "Machine-Mediated Reception Studies (MMRS)",
 "journal_assignment": {
  "assigned": "2026-08-15",
  "by": "TACHYON under operator adjudication",
  "pass": 7,
  "method": "read per deposit — title and content_type, one at a time. No script classified anything.",
  "previous": null,
  "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/"
 },
 "_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/946/",
  "self_url": "https://www.alexanarch.org/data/records/946.json",
  "registry_url": "https://www.alexanarch.org/data/registry.json",
  "text_url": "https://www.alexanarch.org/data/texts/AXN-03BE-text.md",
  "oai_pmh": "https://www.alexanarch.org/oai?verb=Identify"
 }
}