AI-generated conjecture · below the evidence/publication boundary
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Calendars die a generation late
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)
Before the empires, every Babylonian city kept its own calendar with its own month names — Umma's months were not Girsu's — and unification under imperial calendars (the Ur III state calendar, later the standard Nippur-derived calendar) is usually narrated as reform by decree. Technology-adoption studies say entrenched conventions are not decreed away; they die by cohort replacement, tracing a logistic adoption curve. The conjecture: calendar unification lagged political unification by roughly a scribal generation, spreading office by office along a logistic curve as newly trained scribes replaced old ones, because the calendar lived in scribal habit rather than in law. If it holds, adoption curves in dated tablets become a direct measurement of scribal generational turnover — a demographic constant of the profession recoverable nowhere else — and the decree model of Mesopotamian administrative reform breaks.
Prediction clause (verbatim)
At each provincial city absorbed into the Ur III state and again in later calendar standardizations, the share of dated documents using the imperial month names will follow a logistic curve whose 10-to-90-percent transition spans at least 15 years. Primary clause, which decides the verdict: the fitted transition width is at least 15 years (rejecting decree-instant adoption, which predicts under 3 years) in at least two independent city cases. Secondary clause: the logistic midpoint lags the city's documented political incorporation by 15 or more years.
Kill-dataset (verbatim)
BDTNS (month names in dated Ur III provincial texts) and CDLI (dated corpora spanning calendar transitions).
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.
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Provenance
Run: Fresh agent generation · model: claude-fable-5
Composed blind by claude-fable-5 from internal knowledge only, with zero tool calls, and emitted directly as a single JSON text message.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
Searched Ur III Reichskalender adoption in provinces. Gradual, mixed calendar usage during transitions is documented (Umma texts mixing local calendar and Reichskalender; Ur's mid-Šulgi calendar switch analyzed politically), but no logistic adoption-curve fitting or cohort-replacement measurement was located.
Predictions
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