data(fallacies-fr): audit root2 — selective revert+V3 (19 cells / 418) - #390
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… reviewed) Root 2 (Influence — 418 cells) cell-by-cell audit of Phase 4 #369 (FR clarity gpt-5.5). Re-read every triptych baseline (April 2024 f38cfed) vs master vs HEAD, decided per cell. Verdicts breakdown: - KEEP_MASTER: 399 cells (typo/anglicism/typography/tu→vous fixes) - REVERT_BASELINE: 18 cells (master expansion exceeds card-fit ~12-16w constraint without adding precision) - V3: 1 cell (2.3.2.3.1 desc_fr — baseline 8w too laconic, master 19w verbose, V3 14w preserves precision) REVERT highlights: - 2.3.1.1 Cadrage desc_fr (9→17w near-double, baseline tight enough) - 2.3.2.1 Charme personnel desc_fr (13→25w near-double) - 2.3.3.2 Chronémique desc_fr (15→31w, master over-explains a basic concept) - 2.3.1.1.1 Objectif caché example_fr (master reveals the hidden strategy, contradicting the fallacy itself) - 2.3.3.3 Oculésique example_fr (concept replacement, baseline more illustrative) - 11 others — bloat without precision gain Method: tmp/runs/cluster_review.py shows triptych, decisions_2.json records verdicts, apply_decisions.py surgical binary patch preserves CRLF + CSV quoting. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This was referenced May 29, 2026
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[Hermes] — APPROVED
SHA reviewed: 21c77a1 (HEAD)
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✅ CLEAN — no hardcoded credentials.
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✅ All checks pass (GitGuardian, Debug build, Release build).
Review
Root2 FR audit: 19 cells with selective revert+V3 desc_fr edits. All changes are micro-edits trimming AI-generated bloat in French descriptions. CSV-only, no code changes. Consistent with ongoing FR audit series. Low risk.
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…393) Personal triptych review (baseline 0087f0e vs master post-#369) of root 3 (Erreur mathématique, 176 cells, 138 PKs). All KEEP_MASTER except 5 REVERTs where master added 6-10 words without precision gain, breaking card-fit. REVERTs (5): - 3.2.1 example_fr: 19w→25w bloat "Le café doit donc être la cause de cette hausse de productivité", baseline ellipse "Il doit en être la cause" plus naturelle - 3.2.1.3 example_fr: 10w→20w double, baseline "Comme j'étais très malade, j'ai prié et cela m'a guéri" crisp et card-fit - 3.2.2.2.2 example_fr: 37w→44w bloat sur baseline déjà longue (Argument de l'Apocalypse), verbeux "Nous savons combien d'êtres humains" vs tight "On sait le nombre d'hommes qui nous précède" - 3.3.1.2.1 desc_fr: 12w→18w bloat pédagogique "il est impossible de tirer une conclusion" vs baseline tight "une conclusion est introuvable" - 3.3.3.2 example_fr: 31w→38w +7w "son auditoire" + restructuring, baseline "induisant en erreur" implicite suffit KEEPs notables (productive master changes): - 3.1.1.3.4 Biais de Neyman: 32w→21w compression - 3.1.3.1.2 Sophisme métonymique: 17w→12w compression - 3.2.2.3.1 Main chaude example_fr: master corrige le concept (baseline illustrait cold-hand au lieu de hot-hand) - 3.3.1.2.2.1 Design par comité: 24w→20w productive compression - 3.3.1.2.4 Sophisme de la vitre cassée: 20w→16w productive compression - 3.3.2 Erreur de calcul: 9w→7w productive compression - 3.3.3.1.1 Division par zéro: "termes"→"membres" + "dénominateur"→"facteur" (corrections mathématiques) - tu→vous propagé (3.3.1.2.2, 3.3.2, 3.3.3.1) - Typography systématique (« », —, NBSP, 90 %) - Orthographe fixes (nourrissons, davantage, fraîcheur, appel d'offres) Methodology: cell-by-cell triptych review per validated approach (PRs #388/#389/#390/#391/#392). decisions_3.json + apply_decisions.py surgical binary patches preserving CRLF + original CSV quoting. Cells touched: 5 (3 quoted + 2 raw mode). Idempotency check: re-apply yields NO-OP on all BASE entries. Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
Cell-by-cell audit of root2 (Influence — 418 cells) versus Phase 4 #369 (FR clarity gpt-5.5 pass).
Method:
tmp/runs/cluster_review.py 2 --depth 10 --only-regressiondisplays a triptych per modified cell (baselinef38cfed9April 2024 / master / HEAD)tmp/runs/decisions_2.jsonrecords verdicts (KEEP_MASTER / REVERT_BASELINE / V3:<text>)tmp/runs/apply_decisions.pysurgical binary patch preserves CRLF + CSV quotingVerdicts
REVERT highlights
Master expansions exceeding card-fit constraint (~12-16 words for
desc_fr) without precision gain:V3 rewrite
Vous comprometez les facultés perceptives de votre interlocuteur), master 19w verbose, V3 14w:Vous semez le doute ou la confusion chez votre interlocuteur pour compromettre ses facultés perceptives.— combines doubt/confusion from master with the precise "facultés perceptives" anchor from baseline.Caveats
Test plan
git diff --stat: 19 insertions, 19 deletions, 1 file changed🤖 Generated with Claude Code