AI-generated conjecture · below the evidence/publication boundary
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The scribal clock
Status is derived only from the shepherd-authored triage/prediction data above -- community submissions and claims are a separate overlay and can never change it (see the participation panel below).
Claim (verbatim)
The scribal clock. Within a scriptorium, per-copy error rates are constant enough to date manuscripts by error accumulation, like a decay clock. Falsify: error counts vs colophon-dated families.
Kill-dataset (verbatim)
error counts vs colophon-dated families.
Provenance
Run: Imported conversation (verbatim harvest) · model: claude-fable-5
Origin: operator conversation with Claude Fable 5 at max effort, conducted 2026-07-03, relayed verbatim by the operator into the shepherd session on 2026-07-04. No ModelRun exists for the original generation (it happened outside the pipeline); this transcript file is the canonical capture. Transcript path: docs/generated/conjecture_harvest_fablemax_20260703.md. Model (operator-attested, not pipeline-recorded): claude-fable-5. Novelty disclaimer (verbatim, load-bearing -- rule 4): "Same caveat as before, doubled: at 100 items across all of archaeology and history, some of these will have cousins in the literature I can't check. What I can guarantee is the format — each links two things not normally linked, and each names the dataset or measurement that would kill it."
Novelty / leakage triage
Adjacent (closely related prior work exists)
The premise's measurement exists: scribal-habits research directly measures per-copy change rates against surviving exemplars (e.g. ~10 changes per 1,000 words in one studied case), and stemmatics systematically classifies errors. What was not located is the join into a calibrated dating method — error accumulation as a decay clock benchmarked on colophon-dated families.
- Dissertation on NT scribal habits with surviving exemplars (Ancient Jew Review spotlight) — Direct per-copy error-rate measurement against exemplars
Predictions
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