07ad3af845
Closes the 'identity hedges are generic' gap. When IdentityCheck reports
that a specific axis is deviating AND the pack supplies an axis_hedges
entry for that axis, the assembler uses that axis's phrase instead of
ADR-0028's generic preferred_hedge_*. The hedge text now names what is
actually at issue.
Selection: lex-smallest axis_id in (ctx.deviation_axes ∩ axis_hedges).
Deterministic; loader emits axis_hedges in lex order on axis_id.
Example surface at alignment=0.30 (strong band) under default pack:
No deviation → 'It seems that truth reveals reality.'
truthfulness deviates → 'Evidence is thin that truth reveals reality.'
coherence deviates → 'This does not yet cohere: truth reveals reality.'
reverence deviates → 'Reports suggest truth reveals reality.'
Same trajectory + truthfulness deviation, three different packs:
default_general_v1 → 'Evidence is thin that truth reveals reality.'
precision_first_v1 → 'The evidence does not support that truth reveals reality.'
generosity_first_v1 → 'Truth reveals reality.' (above generosity's strong=0.20)
Schema (additive, optional):
surface_preferences.axis_hedges = {
<axis_id>: { 'strong': str, 'soft': str, 'qualifier': str },
...
}
Bounds: each phrase length 1–64; axis_id non-empty. Absent block →
ADR-0028 byte-for-byte fallback. Loader emits pairs in lex order on
axis_id for hashability + deterministic tie-break.
Files:
core/physics/identity.py
+ class AxisHedge (frozen: strong, soft, qualifier)
SurfacePreferences gains axis_hedges: Tuple = ()
packs/identity/loader.py
+ _build_axis_hedges(): parse + bounds-check + emit lex-ordered tuple
generate/surface.py
SurfaceContext gains deviation_axes: frozenset[str] + axis_hedges tuple
+ _axis_specific_phrase(ctx): lex-smallest match or None
_apply_hedge consults axis-specific phrase before ADR-0028 fallback
Depth languages (he, grc) unchanged — ADR-0030 canonical phrases
chat/runtime.py
_build_surface_context lifts identity_score.deviation_axes and
prefs.axis_hedges into SurfaceContext
packs/identity/*.json
Three v1 packs gain axis_hedges blocks (truthfulness, coherence,
reverence — each pack uses voice consistent with its character)
scripts/ratify_identity_packs.py (no change — idempotent)
packs/identity/*.mastery_report.json
Auto-refreshed. New SHAs:
default_general_v1 → 2ab7d469013509ba5030313ca9a609a443d0716e3ddcc5596f59858ce054f5d3
precision_first_v1 → 78aa1e6a68a35c2c8576b6196a52d421b94f6d11e006128986902a4fd08679af
generosity_first_v1 → 511f1ce20edd4266239da61443bfc93473a5433f20bfee6692a25a03073dc933
Tests: tests/test_identity_score_decomposition.py — 17 new tests:
per-axis phrase selection, band gating still applies, pack swap with
same deviation produces three different phrases, lex tie-break is
deterministic, depth-language fallback to ADR-0030, backward compat
with empty deviation_axes, and the contract that all three v1 packs
ship axis_hedges for all three default-pack axes.
Suite status (all green):
cognition 121, teaching 17, runtime 19, formation 182, smoke 67
identity+safety+English+depth divergence 71
score decomposition 17
Scope limits (documented in ADR-0031):
- English-only at v1 (depth languages use canonical ADR-0030 phrases)
- Lex tie-break is operational not semantic — pack authors can re-key
if they need a different priority
- No dominance-driven phrasing (Interpretation A); preserved as
forward-compatible follow-up
Docs: ADR-0031 (Accepted) recorded; docs/identity_packs.md gains
§Axis-specific hedge phrases section and updated v1-pack SHAs; memory
'identity-packs.md' refreshed.
74 lines
2.2 KiB
JSON
74 lines
2.2 KiB
JSON
{
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"pack_id": "precision_first_v1",
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"version": "1.0.0",
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"description": "Precision-first specialization. Boosts truthfulness; narrows coherence and reverence. Source: evals/identity_divergence/axes/axis_a.yaml (semantics, not field-for-field).",
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"schema_version": "1.0.0",
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"mastery_report_sha256": "78aa1e6a68a35c2c8576b6196a52d421b94f6d11e006128986902a4fd08679af",
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"alignment_threshold": 0.55,
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"boundary_ids": [
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"no_fabricated_source",
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"no_hot_path_repair",
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"no_overstatement"
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],
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"surface_preferences": {
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"hedge_threshold_strong": 0.55,
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"hedge_threshold_soft": 0.7,
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"preferred_hedge_strong": "Arguably,",
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"preferred_hedge_soft": "In some cases,",
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"claim_strength": "qualified",
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"qualified_band_high": 0.85,
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"preferred_qualifier": "Under certain conditions,",
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"axis_hedges": {
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"truthfulness": {
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"strong": "The evidence does not support that",
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"soft": "The evidence is mixed on whether",
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"qualifier": "On the available evidence,"
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},
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"coherence": {
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"strong": "This contradicts what is established:",
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"soft": "This sits uneasily with what is established:",
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"qualifier": "Within the bounds of what coheres,"
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},
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"reverence": {
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"strong": "Source attestation is weak:",
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"soft": "Source attestation is partial:",
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"qualifier": "On the sources available,"
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}
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}
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},
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"value_axes": [
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{
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"axis_id": "truthfulness",
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"name": "truthfulness",
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"direction": [
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1.0,
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0.0,
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0.0
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],
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"weight": 2.0,
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"theological_note": "Precision-first: accuracy weighs higher than coverage. Explicit qualification preferred."
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},
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{
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"axis_id": "coherence",
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"name": "coherence",
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"direction": [
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0.0,
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0.7,
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0.0
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],
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"weight": 0.7,
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"theological_note": "Coherence is necessary but secondary to precision when the two are in tension."
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},
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{
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"axis_id": "reverence",
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"name": "reverence",
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"direction": [
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0.0,
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0.0,
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0.7
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],
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"weight": 0.7,
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"theological_note": "Reverence narrowed to source-text fidelity; broad inclusivity is not preferred."
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}
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]
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}
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