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The notary launders the vowels
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).
“Anticipated in print” means the direction of this claim already appears in scholarship, while this exact test has never been run — it records prior art, not proof; nothing here counts as supported or falsified until a registered resolution says so.
Claim (verbatim)
Phonetic misspellings — iotacisms, dropped finals — are the audible fingerprints of ordinary Greek, and the Duke Databank encodes tens of thousands of them as editorial regularizations. A private letter preserves its writer's noise; a petition by the same person was usually drafted by a professional whose office orthography scrubbed it clean. So the corpus should show the same senders oscillating between noisy and clean text depending on document type — proof that spelling in the papyri measures who held the pen, not how the named party spoke. If it holds, orthographic 'vulgarity' statistics stop being social history of speakers and become a map of scribal intermediation.
Prediction clause (verbatim)
For individuals attested as senders of both private letters and petitions in papyri.info (matched via Trismegistos People, n>=20 pairs), regularization density (editorial reg/corr markup per 100 words) is at least 50% higher in their letters than in their petitions. Primary clause: that paired difference — a matched-sample statistical test.
Kill-dataset (verbatim)
papyri.info (DDbDP regularization markup) with Trismegistos People links.
In the kill-dataset registry:
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 scholarship. Kills and prior scholarship are credited here, by name, as they come in.
On Inferpedia
This conjecture is linked to the following pages on Inferpedia, an encyclopedia of the missing — working atlas pages, some still early scaffolding.
Provenance
Run: Fresh agent generation · model: claude-fable-5
Generated blind by claude-fable-5 in a single Write from the inline prompt alone, with no file reads, web access, or database queries.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
The PapyGreek/Sematia programme explicitly connects DDbDP regularization markup to scribal intermediation and social variation, and Vierros showed notaries mask parties' language, but the matched-sender letters-vs-petitions regularization-density test is un-run.
Predictions
No prediction registered yet.
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