feat(taxonomy): #498 AIF — serialize P1 tranche-1d+1e+1f prod write (16 SUFFIX-ONLY rows, attack 121->137) - #783
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…16 SUFFIX-ONLY rows, attack 121->137) Batched prod write of 3 reviewed+GO'd propositions (master cbf9b7c, baseline 121 post-tranche-1c). ai-01 reviewed the 3 propositions (#778/#780/#781) and concur'd on every verdict including the same-token pk33/pk808 divergence (msg-ftqy51 [GO WRITE]). 16 disjoint PKs, 2 AIF columns cell-filled (empty -> value): - tranche-1d (Erreur mathematique, 4): 595/614/632/677 -> all undercut/RA-node - tranche-1e (Insuffisance, 5): 2/33/34/43/71 -> all undercut/RA-node - tranche-1f (Abus de langage, 7, MIXTE): 800/808/814/833/856/876 -> undermine/I-node + 839 undercut/RA-node Distribution this batch: 10 undercut / 6 undermine. attack layer 121 -> 137 (fully-modeled 46 -> 62). Full attack distribution now: 82 undercut / 50 undermine / 5 rebut. Byte-exact verified 2x: - self-proof in each apply script (0 mismatch, 1409x104, CRLF+BOM) - INDEPENDENT backup-vs-prod (tmp/Fallacies-backup-pre-p1def-batch.csv vs prod): exactly 16 PKs changed in ATI/ANI only = 32 cell changes, 0 stray, 0 value mismatch, pre-state of all 16 was empty (fill not overwrite). Only prod CSV in diff (16 ins/16 del). 0 token fabricated (TYPE rows already skos-vetted). Secret-scan: no credential in diff. Co-authored-by: Claude-Code <noreply@anthropic.com>
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…FIX-ONLY, famille Tricherie, MIXTE gated, LAST FAMILY) (#784) P1 reconciliation back-fill, tranche-1g = 8 SUFFIX-ONLY rows (888/973/1020/1023/1066/1087/1148/1175), the whole "Tricherie" family (Arranger les faits + Changement de cap + Pensee biaisee). LAST SUFFIX-ONLY family -> closes the 36-row back-fill (5 1b + 7 1c + 4 1d + 5 1e + 7 1f + 8 1g = 36). HETEROGENEOUS (MIXTE): 3 undermine / 5 undercut. Three defect natures: - relational manipulation (deceptive arrangement, goalpost-moving, biased reasoning) -> premise-level (undermine/I): 888, 973, 1023 (precedents PositionToKnow pk70, ConflictingGoals pk356, Bias pk70). - sunk-cost / effort-justification -> inference rule undercut via Waste scheme (undercut/RA): 1020, 1148 (precedent Waste_Inference pk432). - cognitive induction biases (mere exposure, anecdotal, attribution) -> weak induction (undercut/RA): 1066, 1087, 1175 (1066/1175 Example_Inference novel; 1087 desc-twin of tranche-1e pk34). 6/8 tokens have a typed precedent; 2/8 novel. attackType = NEW judgment; NODE deterministic (#707§4a); 0 token fabricated. 3 MED flags (888, 1066, 1175): - pk888 (Presentation trompeuse): SAME-TOKEN DIVERGENCE with tranche-1e pk2 (LackOfPTKReliability_Scheme). pk2->undercut (induction); pk888->undermine (deceptive arrangement = biased premise, reinforced by PositionToKnow pk70). 2nd such divergence (after 1f pk808/pk33) — reinforces desc-driven principle. - pk1066 (Effet de simple exposition): Example_Inference novel; undercut (familiarity->acceptable defective rule); alt undermine. - pk1175 (Biais d'attribution): Example_Inference novel; undercut (attribution over-systematic); alt undermine. 5 HIGH: 973 (ConflictingGoals precedent), 1020 (Waste precedent sunk cost), 1023 (Bias+Presumptive precedent), 1087 (desc twin pk34), 1148 (Waste precedent). 0 prod write (gated dry-run). Baseline dynamic (write-driven, disjoint PKs): 121->129 (master cbf9b7c) / 137->145 (if 1d+1e+1f #783 merged). Byte-exact: 0 mismatch, 1409x104, CRLF+BOM, +120 B. - docs/taxonomy/498-reconciliation-p1g.md (proposition, MIXTE, last family) - docs/taxonomy/498-reconciliation-p1g-annotations.csv (8 rows, 12 cols) - tools/498-p1g-apply.py (gated apply, dry-run default, mirrors p1f) Co-authored-by: Your <your.email@example.com> Co-authored-by: Claude-Code <noreply@anthropic.com>
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#498 AIF — serialize P1 tranche-1d+1e+1f prod write (16 rows, attack 121→137)
Worker po-2024 · Base
cbf9b7c8(baseline 121, post-tranche-1c) · Statut prod write (GO ai-01msg-ftqy51).Batched serialization of the 3 reviewed+GO'd propositions (#778 1d, #780 1e, #781 1f). ai-01 concur'd on every MED verdict including the same-token pk33/pk808 divergence.
16 disjoint PKs cell-filled (empty → value), 2 AIF columns only
Batch : 10 undercut / 6 undermine. attack layer 121 → 137 (fully-modeled 46 → 62).
Byte-exact verified 2×
tmp/_verify_p1def_batch.py, backup pre-batch state-121 vs prod state-137) :AIF_attackType/AIF_attackedNodeonly = 32 cell changesFull attack-layer distribution now (137)
82 undercut / 50 undermine / 5 rebutGate / safety
.keys/openai-key.txtgitignored, not staged.)Cards/intact except the 16 AIF cells · ❌ [runtime pending] feat(dnn): #649 RulesExplorer i18n — mirror loc() culture cascade #674/[HOLD post-tag] fix(cardpen): #629 convert relative /Cards paths to raw-master URLs (Option 1) #666/chore(dnn): #131 migrate 12 RazorComponent templates to Razor14 (source-level, runtime pending) #596 (HOLD) · verdict QA = ai-01.Handoff ai-01
🤖 Worker po-2024 — batched write 1d+1e+1f (16 rows, 121→137).