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AI-generated conjecture · below the evidence/publication boundary

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The dictation fingerprint

Status: Prior

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 dictation fingerprint. Production mode (visual exemplar copying vs dictation/pecia mass production) is recoverable from error typology alone.

Prediction clause (verbatim)

The fraction of phonetically-confusable (vs visually-confusable) copying errors across collated witnesses is bimodal, with the high-phonetic mode clustering at known dictation/pecia mass-production centers and periods (13th–14th-century university towns) and the low mode in monastic visual-copying contexts.

Kill-dataset (verbatim)

Kill: a unimodal error-typology distribution, or no association between the high-phonetic mode and known production contexts.

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

Leaked (already exists in the literature)

The shepherd's own fresh item, judged leaked by its own triage: inferring production mode from phonetic-versus-visual error typology IS the method of the classical dictation debate — Skeat's 'The Use of Dictation in Ancient Book-Production' (1957) and the Codex Sinaiticus dictation controversy turn on exactly this discrimination. Worse for the conjecture, Junack's critique (ancient scribes self-vocalized while copying, producing phonetic errors without a lector) undermines the clean bimodality premise. The pecia-clustering systematization was not located, but the core join is published. Retained as an instrument-calibration point: the triage catches its own author.

Its literature citations feed the frontier as source leads (2 leads below the evidence/publication boundary, not yet reviewed).

Predictions

Open registered 2026-07-04 calibration prediction (parent triage: leaked/adjacent)

Calibration-tier OPEN prediction (triage: LEAKED — this is substantially Skeat's dictation-debate method; registered only as a calibration of whether the old method survives a modern corpus-scale test): the phonetic-vs-visual error-type fraction across collated witnesses is bimodal, with the high-phonetic mode clustering at known pecia/university production contexts.

Resolution criteria: Resolvable against large collated corpora with error typology (e.g., annotated Greek/Latin collations). SUPPORTED if a two-component mixture fits the phonetic-fraction distribution better than one component (likelihood ratio p < 0.01) AND high-phonetic membership predicts documented pecia/university origin better than chance. KILLED if the distribution is unimodal. MANDATORY confound control from the triage (Junack): self-vocalized copying produces phonetic errors without dictation — the analysis must include an error class that discriminates lector-mishearing from self-vocalization, else INCONCLUSIVE.

Known priors disclosure: The registrant knew of the Skeat dictation debate before generating this item (confirmed leaked at triage — the instrument caught its own author). No corpus-scale bimodality test has been seen.

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