Extends Method C: for each unknown narrative token that pattern text names, suggest
the keyword_dictionary tag = the RequiredComponentTags shared by the naming
patterns (ranked by frequency, kept only when shared by >=40% of them, top 3).
Surfaces real dictionary gaps like "zwischenkreis" -> stored_energy and
"updates" -> has_software, which close coverage without hand-editing the dict.
Two precision fixes to Method C while here:
- patternsMentioning now matches WHOLE WORDS, not substrings — substring matching
flagged fragments like "stehen" inside "entstehen" and produced nonsensical
tag suggestions.
- a token is only proposed with a tag if one is shared by >=40% of its naming
patterns, so diffuse common verbs (spread across categories) drop out.
Wired into iace-audit propose -> audit-reports/vocab.{md,json}. Residual
common-verb noise is left to the human/LLM filter rather than a hand-grown
stopword list. Type 4 (coverage blind spots) + P3 (pin accepted proposals into a
GT case) remain for slice 6.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Surfaces fired patterns whose zone names terms the machine's narrative never
mentions — foreign framing that leaks through terms not yet in domainGateTerms
(once a term is a gate term, the ghost-pattern invariant already fences it out).
- FindFramingCandidates (proposer_framing.go): per fired pattern, zone terms with
no narrative echo (minus a generic hazard-location stoplist). Echo matching is
bidirectional to survive German compounding (narrative "Steuerung" echoes zone
"Steuerungssystem"). Heuristic verdict foreign (fully orphan) / plausible
(partial). Over-surfaces by design — human/LLM is the precision filter.
- Wired into iace-audit propose -> audit-reports/framing.{md,json}, threshold via
IACE_FRAMING_MIN_ORPHAN (default 0.6).
Honest finding: genuine wrong-MACHINE framing (Walzen, Transportbaender) no longer
fires thanks to the machine-type gate; the residual is mostly cyber/control
patterns with generic-industrial zone vocabulary, candidates for re-framing.
Proposal types 3-4 (vocab->tag, coverage blind spots) remain for slice 5.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Makes the offline proposer runnable end-to-end.
- BuildProposerInput (proposer_input.go): non-test engine->hazards path. The
PatternMatch->Hazard converter is lifted out of the GT test files into
production scope so both the tests and the CLI share one pipeline.
- iace-audit propose <narrative.json> [<ground-truth.json>]: detect candidates ->
GT-screen survivors (when a ground truth is given) -> judge (HeuristicJudge by
default, LLMJudge over ollama when IACE_PROPOSE_LLM=1) -> write the human-review
queue to audit-reports/proposals.{md,json}. Propose-only.
Smoke run on a dishwasher narrative: 32 fired -> 3 candidates -> queue with a
confident duplicate, a confident distinct, and one punted to the LLM judge; GT
wall recall-safe. Live qwen is opt-in via env; the heuristic default keeps the
tool runnable (and CI deterministic) without a model. Proposal types 2-4
(foreign-framing gates, vocab->tag, coverage blind spots) remain for slice 4.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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