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AI-generated conjecture · below the evidence/publication boundary

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Cribs become classics

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)

Medieval schoolboys learned Latin on a fixed menu of texts — Cato's Distichs, Avianus, the Auctores octo — and their copies are choked with interlinear glosses. This conjecture claims the gloss layer was the launchpad of vernacular literature in a measurable way: the density of interlinear vernacular glossing a school text accumulated predicts how many independent vernacular translations of it later appeared, because a translation is an interlinear crib that finally left the line — generations of classroom word-matching built a ready-made lexical bridge, and the most heavily bridged texts crossed first and most often. Translation did not happen to school texts; it condensed out of them. If this holds, the vernacular literary canon's earliest translated layer was chosen by pedagogy rather than by taste, and gloss density in surviving schoolbooks forecasts translation counts we can tally.

Prediction clause (verbatim)

Across the Auctores octo texts, the rank correlation between average interlinear gloss density (sampled over at least ten digitized copies per text) and the count of distinct pre-1500 vernacular translations catalogued per text will be at least 0.7 (Spearman); primary clause: that rank correlation, with Cato's Distichs required to rank in the top two on both scales.

Kill-dataset (verbatim)

Kill: e-codices and Digital.Bodleian digitized schoolbooks for gloss-density sampling, with translation counts from FAMA and ARLIMA per text.

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

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Provenance

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

Blind fresh claude-fable-5 subagent (max effort), single-Write discipline, 2026-07-09. W07, first wave of the operator-directed medieval-European block (W07-W10).

Novelty / leakage triage

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

Searched glossing and vernacular translation. The gloss-to-translation continuum is anticipated (glosses as didactic tools; commentaries shaping vernacular translation; 24% of the OE corpus is interlinear gloss), but no correlation of gloss density with counts of later vernacular translations across the Auctores octo exists.

Predictions

No prediction registered yet.

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