AI-generated conjecture · below the evidence/publication boundary

The long weekend at Deir el-Medina

Status: Prior

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)

The long weekend at Deir el-Medina. Absenteeism econometrics meets the pharaoh's tomb-builders: the royal workmen treated the Egyptian ten-day week exactly as modern workforces treat Fridays — absence hazard spikes on workdays adjacent to rest days, manufacturing long weekends, and a small cadre of chronic absentees carries most of the total.

Prediction clause (verbatim)

In the attendance registers, absence probability on the final workday before the rest days is >= 1.8x the mid-week average; individual absence counts are overdispersed (negative-binomial k < 1) with the top decile of workmen accounting for >= 40% of all recorded absences; a uniform daily hazard and an even distribution across workmen kill it.

Kill-dataset (verbatim)

Kill: the Deir el-Medina Database (Leiden) attendance ostraca, O. BM 5634 and parallels.

Provenance

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

Generated by a fresh Fable-tier instance at maximum effort with generation-first blindness (no repo/web/DB access); titles-only knowledge of existing items, embedded in titles_supplied per the batch-2 lane rule; prompt pre-committed in docs/GOAL_CONJECTURES_BATCH3_20260705.md (b043140). Novelty unverified by construction. titles_supplied stripped to the committed sidecar conjecture_fresh_fablemax_batch3_titles_supplied_20260705.md at import (schema additionalProperties:false; relaxation queued).

Novelty / leakage triage

Leaked (already exists in the literature)

The absence registers are a famous quantitative dataset with a direct scholarly lineage: Janssen's foundational 1980 study of the Year-40 register (280 days, 40 workmen, per-absence reasons) and Austin's 2015 quantitative 'scalar approach' reanalysis — quantitative absenteeism analysis of this exact corpus is established. The conjecture's specific instruments (weekday hazard curve, negative-binomial overdispersion, top-decile concentration) were not located, but the connection is a standing research program.

Janssen 1980, 'Absence from Work by the Necropolis Workmen of Thebes', SAK 8 — The foundational quantitative study
Austin 2015, 'Accounting for Sick Days', JNES 74.1 — Modern quantitative reanalysis

Predictions

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