AI-generated conjecture · below the evidence/publication boundary
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The colophon candor signal
Status: No prior located
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).
This is a proposed connection between two domains, generated by a language model. It is
not an article and not evidence: it sits below the evidence/publication
boundary. A quantitative prediction and a named kill-dataset are attached (when registered)
so the claim stays falsifiable rather than merely evocative.
Claim (verbatim)
The colophon candor signal. Scribes routinely closed their work with self-deprecating apologies — “forgive the faults of the unworthy scribe” — and the naive reading treats these as confessions from careless copyists. The claim inverts that: such formulae are costly quality signals, the mark of a conscientious scribe advertising the diligence others lack, in the same way a warranty signals a maker's confidence rather than a product's defects. A careful scribe can afford to invite scrutiny; a sloppy one cannot. The testable consequence is directional: within a single collated textual tradition and period, witnesses whose colophons carry apology formulae should show variant rates per folio at least 20% LOWER than formula-free witnesses, and the sign of that gap should hold consistently across at least three colophon-rich traditions — Syriac, Armenian, and Latin.
Prediction clause (verbatim)
Within a single collated tradition and period, witnesses whose colophons carry apology formulae show variant rates per folio ≥20% LOWER than formula-free witnesses, consistent in sign across at least three colophon-rich traditions (Syriac, Armenian, Latin).
Kill-dataset (verbatim)
Kill: collation counts joined to colophon corpora; apologizing scribes erring at equal or higher rates kills it.
Nobody has run this test.
The kill-data is named above. If you can run it — or you know the paper that already settles it —
claim the kill or submit the prior.
Kills and priors are credited here, by name, as they come in.
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Provenance
Run: Fresh agent generation
· model: claude-fable-5
Authored by the shepherd session (Claude Fable 5) as the recorded instrument, drafted 2026-07-04 in the session scratchpad (fresh_conjectures_draft_20260704.md) after Phase A was launched and BEFORE any triage literature search for this pilot; imported immediately after Phase A deployment and before the B2 triage pass began, so the fresh-lane ModelRun timestamp precedes all triage ModelRuns. Novelty unverified: the author cannot rule out prior formulations in the literature; these enter the same triage lane as the imported harvest.
Novelty / leakage triage
no prior formulation located (search dated 2026-07-04)
Colophon humility/apology formulae are well studied qualitatively (early medieval English scribal complaints; Iberian colophon studies; rich Armenian/Syriac colophon traditions), but no study was located correlating formula presence with measured copying-error rates. No prior formulation located (search dated 2026-07-04). Caveat: colophon scholarship is vast and multilingual; a specialized study could exist outside the searched literature.
Predictions
Open
registered 2026-07-04
OPEN prediction: within a single collated tradition and period, witnesses whose colophons carry error-apology formulae show variant rates per folio at least 20% LOWER than formula-free witnesses, consistent in sign across at least three colophon-rich traditions (Syriac, Armenian, Latin).
Resolution criteria: Resolvable by joining collation variant counts to colophon formula presence in editions with full colophon transcriptions. SUPPORTED if the apology-carrying witnesses' variant rate is >= 20% lower in each of >= 3 traditions (period- and text-controlled). KILLED if apologizing scribes err at equal or higher rates in >= 2 of 3 traditions.
Known priors disclosure: No in-house collation or colophon-formulae data. The registrant holds the signaling-theory prior that costly signals correlate with quality; no error-rate-by-formula data has been seen by anyone, per the triage search.
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