Language Governed Assets

0. Executive Intent

Goal: Turn language into governed, computable assets by operating at the right grain—graphemes → morphemes → etymology → semantics → governance → routing—so neologisms are minted with traceable meaning and safely deployed across SolveForce, the Codex, and Linomics.

Mantra: Spelling = identity; mutation = lineage; governance = trust; routing = use.

1. Core Principles (non-negotiables)

  1. Orthographic truth: Any grapheme change yields a distinct asset with a verifiable lineage.
  2. Etymological anchoring: Every term must cite or infer roots; uncertainty is allowed, but it must be explicitly modeled.
  3. Controlled creativity: Neologisms are generated via permitted operators (vowel/consonant interchange, affix grafting) with measurable thresholds.
  4. Semantic separability: Variants must hold unique conceptual slots (no shadow terms).
  5. Ethical guardrails: Terms that invite harm, deception, or legal ambiguity fail minting.
  6. Auditability: All proposals, checks, and overrides are logged, hashed, and replayable.
  7. Actionability: Language assets must drive routing and QoS in real systems (voice, text, contracts).

2. Canonical Vocabulary (for humans & machines)

  • Grapheme: Minimal written unit (letter/diacritic).
  • Grapheme Chain: Ordered list of graphemes for a term.
  • Morpheme: Minimal meaning unit (root/prefix/suffix/etc.).
  • Etymological Logism: Formal statement of root derivation and method (attested/inferred/borrowed/definition-lending).
  • Glyph Signature: Boolean vector of governance states:
    ℓ(origin), Ξ(recursion/validation), 𝔇Ξ(grammar/structural fitness), ✠(ethics), ∞(continuity/yield), ↻(looped/iterated), ∴(settled/minted).
  • Mutation: A typed change set over the grapheme chain (positions + from/to).

3. System Roles

  • Proposer (human/agent): submits a term or mutation.
  • Resolver: computes etymology, phonetics, morphology.
  • Validator: scores lineage, separability, ambiguity, ethics.
  • Curator: can approve/override with rationale.
  • Router: emits headers/hints for SolveForce services.
  • Ledger: persists state, lineage, and proof trails.

4. Data Contracts (source of truth)

Use the artifacts you already have:

  • PostgreSQL DDL: schema.sql
  • JSON Schemas: schemas.json (validates TermRecord payloads)
  • OpenAPI: api_spec.yaml (propose/search/get/mint/reject/router hints)
  • Editor Rulebook: editor_rules.md (UX + acceptance thresholds)

Canonical Term (conceptual):

TermRecord {
  term: string
  language_code: string
  ipa?: string
  graphemeChain: [{pos:int, symbol:string}]   // ordered
  morphemes: [{form, role, start?, end?}]
  etymology: {roots:[string], evidence?:[string], method, confidence?}
  phonetics?: {ipa: string, ...}
  glyphSignature: {ℓ,Ξ,𝔇Ξ,✠,∞,↻,∴ : boolean}
  derivation?: {parent?: string, mutation:[{pos, from, to}]}
  domains?: [string]
  policies?: {legalDistinct?:bool, brandSafe?:bool, regionLocks?:object}
  metrics?: {lineageFidelity, resonance, domainSeparability, ambiguityRisk}
}

5. Pipeline (end-to-end, deterministic)

P0 Ingest → P1 Parse → P2 Resolve → P3 Model → P4 Generate → P5 Verify → P6 Mint → P7 Publish/Route

P0 Ingest

  • Normalize to UTF-8; preserve script & diacritics.
  • Record source, actor, timestamp.

P1 Parse (Orthography & Morphology)

  • Tokenize into graphemeChain.
  • Segment morphemes with roles; attach approximate start/end.

P2 Resolve (Etymology & Phonetics)

  • Find/Infer roots; set method: attested|inferred|borrowed|definition_lending.
  • Map IPA; store confidence.

P3 Model (Semantics & Pragmatics)

  • Build a meaning graph from domain tags, usage contexts, and co-occurrence.
  • Run grammar fitness (𝔇Ξ) against house style/constraints.

P4 Generate (Neologisms via Operators)

  • Apply vowel/consonant interchange and affix grafting where legal.
  • Produce candidate variants with mutation lists.

P5 Verify (Scoring & Ethics)

  • Compute:
    • lineageFidelity (how faithful to roots)
    • domainSeparability (vector distance from siblings)
    • ambiguityRisk (collision/confusability)
    • resonance (phonetic/usage fit)
  • Run Ethics (✠). If fail → REJECT with reason; log event.

Default thresholds (tunable):
lineageFidelity ≥ 0.75 ∧ domainSeparability ≥ 0.60 ∧ ambiguityRisk ≤ 0.30 ∧ ethicsPass = true.

P6 Mint (∴ Settlement)

  • Freeze record; hash canonical snapshot; write immutable audit event.
  • Flip glyphSignature.settled = true.

P7 Publish/Route (SolveForce)

  • Expose via /terms/{id} (canonical JSON).
  • /router/hints returns headers (e.g., X-Glyph-Status: ∴, X-Glyph-Ethics: ✠) + route family/QoS for voice/text/contract channels.
  • Editor & gateways attach/consume headers.

6. APIs (behavioral outline)

6.1 Term Lifecycle

  • POST /terms → PROPOSE (validate against JSON Schema; create PROPOSE audit)
  • Async/inline verify: Resolve+Score; attach metrics
  • POST /terms/{id}/mint → MINT (∴) if thresholds pass (or curator override)
  • POST /terms/{id}/reject → REJECT with reason
  • GET /terms?q=...&domain=... → search
  • GET /terms/{id} → canonical record (v_term_canonical)

6.2 Routing

  • POST /router/hints {text, channel} → returns {headers, route_family, qos_profile, decision}
    Decision ∈ {ALLOW, QUARANTINE, NEEDS_REVIEW}

Error Semantics (minimal set):

  • 400 Schema violation (point to failing JSON pointer)
  • 409 Collision (high ambiguityRisk)
  • 422 Ethics failure (✠ = false)
  • 423 Region lock violated
  • 428 Missing evidence for claimed etymology
  • 500 Internal verification error

7. Algorithms (portable sketches)

7.1 Mutation Proposal

legal_sites := locate_vowels_consonants(term.graphemeChain, morpheme_boundaries)
candidates := []
for site in legal_sites:
  for op in permitted_ops(site):
    cand := apply(op, term)
    if preserves_morpheme_integrity(cand):
       candidates.append(cand)
return candidates

7.2 Scoring & Decision

score := {
  lineageFidelity: etymology_similarity(parent, child),
  domainSeparability: 1 - nearest_neighbor_cosine(child.embedding, siblings),
  ambiguityRisk: confusion_index(child, corpus),
  resonance: phonetic_fit(child.ipa, domain_phoneme_profile)
}
pass := score.lineageFidelity>=τ1 && score.domainSeparability>=τ2
        && score.ambiguityRisk<=τ3 && ethics(child)
return pass ? ACCEPT : (needs_lending? REVIEW : REJECT)

7.3 Ethics Filter (✠)

  • Regex/patterns for prohibited frames
  • Classifier for harm/deception
  • Jurisdiction overlays (regionLocks)

8. Editor & Curator UX (operational rules)

  • Red: fails thresholds → block propose (explain why, show fixes)
  • Amber: definition-lending needed or curator review
  • Green: mint-ready → one-click MINT (∴)
  • Always show diff: mutation positions & grapheme deltas.
  • Provide evidence panel: roots, citations, confidence.

9. Governance & Audit

  • Events: PROPOSE|VERIFY|MINT|UPDATE|REJECT
  • Each event stores payload, content_hash, occurred_at, actor.
  • Curator override must include rationale and auto-notify compliance.

10. Security, Privacy, Compliance

  • Sign all API responses with response hash and event id.
  • Make /terms writes role-gated; read can be tiered.
  • Encrypt evidence sources if proprietary; redact PII in corpora.
  • Keep regionLocks enforceable at publish and route time.

11. KPIs & Telemetry

  • Collision rate (downward)
  • Time-to-mint (proposal→∴)
  • Routing precision (right model/path)
  • Ethics false-negatives (approach zero)
  • Adoption (% of artifacts carrying glyph headers)

12. Integration Playbooks

  • Docs & Contracts: Lint during authoring; auto-suggest mintable terms.
  • Voice/Callflows: Recognize LANOMICS vs LINOMICS; route to voice analytics vs structural analytics.
  • Search & Retrieval: Index graphemeChain and derivation; support “near-term but distinct” queries.

13. Extensibility

  • Multiscript: set script per grapheme (Latin/Cyrillic/Greek/Arabic/etc.).
  • Multilingual: language_code + localized morpheme analyses.
  • Domain packs: pre-tuned thresholds and ethics profiles per industry.

14. Deployment Checklist

  1. Provision PostgreSQL; apply schema.sql.
  2. Stand up API from api_spec.yaml (scaffold + handlers).
  3. Enforce payload validation with schemas.json.
  4. Connect Resolver/Validator services (morphology, etymology, phonetics, ethics).
  5. Configure Editor plugin with Rulebook thresholds + UX signals.
  6. Wire SolveForce gateways to call /router/hints and attach glyph headers.
  7. Create Curator Council roles & override workflow.
  8. Turn on telemetry dashboards (KPIs in §11).
  9. Seed ledger with baseline terms (LINOMICS, LANOMICS, LINAMICS, LANAMICS).
  10. Run acceptance tests: mutation, ethics, routing, audit replay.

15. Worked Micro-Example (one glance)

  • Input: “LANOMICS” proposed (I→A at pos 2 from LINOMICS).
  • Parse: Graphemes verified; morphemes = lan + omics.
  • Resolve: roots {lingua, nomos}, method=inferred, confidence=0.86.
  • Scores: lineage=0.82, separability=0.71, ambiguity=0.18, resonance=0.91, ethics=PASS.
  • Decision: ACCEPT → MINT (∴).
  • Publish/Route: X-Glyph-Status: ∴, X-Glyph-Ethics: ✠, route_family=voice.

16. Philosophy (why this holds)

Language is infrastructure. By respecting the smallest units (letters→morphemes) and binding them to lineage and law (etymology→governance), you get creativity with accountability—a mint for meaning that scales across AI, enterprise, and jurisprudence without semantic drift.

17. What to build next (optional accelerators)

  • Seed scripts & fixtures for the four exemplars.
  • A reference Validator microservice (scores + ethics).
  • An editor lint engine (local library) mirroring server logic.
  • A tiny SDK (TS/Python) for /terms & /router/hints.