AI-generated conjecture · below the evidence/publication boundary
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The epigram hears the book
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)
Byzantine scribes and donors wrote short dedicatory poems — book epigrams — into manuscripts, and thousands are indexed. This conjecture claims the epigrams register whether a book was for the ear: liturgical books with musical notation attract systematically different epigrams than unnotated books of the same genre — more of them, more often naming the donor's voice, throat, or singing, and more often pricing the gift (naming the expense) — because a notated book was a performance instrument whose donation bought audible, repeated, congregation-facing commemoration, while an unnotated book bought silent shelf-merit. Patrons paid for airtime and said so in verse. If this holds, the epigram corpus becomes a measurable window on how Byzantines priced sound against text, using evidence wholly external to the music.
Prediction clause (verbatim)
Primary clause: in the book-epigram corpus, manuscripts identifiable as notated (sticheraria, heirmologia, notated lectionaries) carry donor epigrams at a higher rate per surviving manuscript than unnotated books of matched genre and period, and their epigrams mention voice/singing/sound lexemes at least twice as often; absence of both differentials kills the item. Secondary clause: expense-naming formulas are over-represented in notated books' epigrams.
Kill-dataset (verbatim)
DBBE, the Database of Byzantine Book Epigrams (in-house), whose records link epigrams to manuscripts and types, crossed with the notation status of the same manuscripts per the Monumenta Musicae Byzantinae and standard catalogues — a rate and lexeme distribution test.
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
Generated blind in a single Write from the inline prompt only, with no file reads, web access, database queries, or other tool calls.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
The method and mechanism are established: the DBBE corpus systematically records donor epigrams and their stated motivations (commemoration, devotion, expense) as data on patronage and book use; the notated-vs-unnotated contrast in epigram rate and voice-lexeme frequency is an un-run statistic within that existing framework.
Predictions
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