T08: the classifier, measured and attacked

False Adaptation Rate = 0/7 across the labelled catalogue and the three E-003
attacks. 11 of 12 mechanical mutations absorbed without a human, so the safety
result is not bought by escalating everything.

- classification.py: total function over three signals, rule order chosen so
  every rule that could excuse a regression sits after the rule that reports
  one. SAFE_TO_ACCEPT is a two-element closed set, asserted.
- CompositeDriver plus scenarios/full_journey.py: one asset crossing both
  surfaces, so UI mutations are visible as surface differences while the
  claims they do not touch stay green.
- E-003: surface substitution (new M23), concurrent mechanical+defect,
  evidence starvation, provenance laundering. All held.

F-0006 (CONCEPT_DRIFT, resolved): the T02 design listed SEMANTIC_CHANGE as an
outcome the table could produce. It cannot - M12 and M19 are behaviourally
identical, as the lab has asserted since T05. PRODUCT_DEFECT and
SEMANTIC_CHANGE collapse into one escalating outcome, BEHAVIOUR_CHANGED, and
the distinction becomes a human adjudication. INTENT_CHANGED survives but is
detected by the claim fingerprint moving, not inferred from behaviour.

Two classifier defects found and fixed rather than reported: claims downstream
of a failed realization now yield INCONCLUSIVE rather than FAIL (a false
accusation is the mirror image of a false adaptation), and the browser driver
records a page signature so surface change is detectable when the interaction
path is unchanged.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

Assistant: claude-code
Assistant-Model: opus
Assistant-Process: 1629012@bnt-lap001
Assistant-Session: 78d4fb13-8a1e-474b-87a3-9b9261c49a39
This commit is contained in:
tegwick 2026-08-23 00:02:58 +02:00
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@ -1,7 +1,7 @@
---
id: H-004
title: Independent Judgment
status: PROPOSED
status: EXPERIMENTING
created: "2026-08-22"
experiments: [E-001, E-003]
concepts: [C-oracle-independence, C-intent-provenance]
@ -41,6 +41,41 @@ The most plausible route to falsification is not a misclassification but
via another surface and scoring as a successful recovery. D-05 exists to close
that route; E-003 exists to attack it deliberately.
## Result (TD-WP-0002-T08)
**False Adaptation Rate = 0/7.** No `DEFECT`-labelled mutation was classified as
safe to accept, including the three deliberate attacks in E-003.
| Ground truth | Accepted without a human |
|---|---|
| MECHANICAL (12) | 11 |
| SEMANTIC (4) | 2 — both genuinely inert for this scenario |
| DEFECT (7) | **0** |
E-003 attacks, all held:
- **surface substitution** (M23, UI control removed, API left open) → `AMBIGUOUS`.
The driver did not route around; discovery failed loudly.
- **concurrent mechanical + defect** (M01+M15, M02+M17, M21+M20) →
`BEHAVIOUR_CHANGED`, with the reason explicitly noting that the coincident
surface change does not excuse it.
- **evidence starvation**`AMBIGUOUS`, never a pass.
- **provenance laundering** → rejected at authoring, and caught in the record.
Note what this does and does not establish. FAR = 0 follows largely from
*architecture* — claims are run inputs with no adaptation write path (D-02), and
`SAFE_TO_ACCEPT` is a two-element closed set. The experiment confirms the
architecture behaves as designed over 23 mutations; it does not establish that
the architecture is correct for mutations nobody thought of. That distinction
should survive into any external claim.
The other side of the trade is asserted too: a classifier that escalated
everything would score a perfect FAR and be useless.
`test_mechanical_changes_are_mostly_absorbed` pins 11 of 12.
## Status log
- 2026-08-22 `PROPOSED`. No evidence.
- 2026-08-22 `EXPERIMENTING`. FAR 0/7 over the labelled set plus E-003 attacks.
Not promoted to SUPPORTED: 23 hand-written mutations is a small, self-chosen
sample.