Ars Inquirendi

AI-generated conjecture · below the evidence/publication boundary

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The signature census

Status: Anticipated · untested

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)

Jewish legal deeds required witnesses to sign, and a signature is an involuntary literacy test: a practiced writer signs fluently, while a man who can barely write draws his name in careful, disconnected strokes — a distinction plainly visible on the page centuries later. Geniza court documents preserve thousands of such signatures from ordinary community members who otherwise left no writing at all. The conjecture is that these signatures constitute a direct literacy census of a medieval population: the distribution of signature fluency is strongly bimodal — fluent hands versus drawn letters, with a thin middle — the fluent mode covers a majority of male witnesses, and the share is roughly stable across the eleventh to thirteenth centuries, yielding the first measured rather than asserted literacy rate for any medieval community. If this holds, claims about exceptional Jewish literacy become checkable numbers, and the method exports to any deed-rich corpus.

Prediction clause (verbatim)

Primary clause: grading witness signatures on Princeton Geniza Project legal-document images by fluency criteria, the distribution is bimodal (dip test or mixture-model comparison), with the fluent mode comprising at least 60% of distinct witnesses. Secondary clause: the fluent share changes by less than 10 percentage points between the eleventh and thirteenth centuries. The verdict follows the primary bimodality-plus-share clause.

Kill-dataset (verbatim)

The Princeton Geniza Project: imaged legal documents bearing witness signatures.

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.

In the atlas

This conjecture is bridged, as an L1 lead, onto these Inferpedia subject pages.

Provenance

Run: Fresh agent generation · model: claude-fable-5

Generated in a single blind Write with no reads, web access, or database queries; this is a relaunch after the prior W19 attempt was stopped mid-run.

Novelty / leakage triage

anticipated in the literature — this exact test has never been run

Witness signatures on Geniza legal documents are recognized evidence and a signatures database is being compiled at Princeton, but no fluency-graded bimodality analysis yielding a measured literacy rate has been published.

Predictions

No prediction registered yet.

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