AI-generated conjecture · below the evidence/publication boundary
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Domesday horsepower
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)
Domesday horsepower. Joins stream-power hydrology to the fiscal cadastre: the 1086 Domesday survey unwittingly recorded a physics meter, because a mill's render capitalized the hydraulic power of its site; feudal rent should therefore scale with drainage-area-times-slope like an engineering formula.
Prediction clause (verbatim)
Matching >=2,000 Domesday mill renders to modern DEM-derived stream power at the recorded vill (discharge proxy times channel slope), log render regresses on log stream power with elasticity between 0.4 and 0.8 and within-county R^2 >= 0.3; multiple mills on one manor split their render in proportion to available head; and render-per-unit-power is systematically 30-80% higher in grain-rich arable counties than in pastoral uplands, reflecting demand rather than physics.
Kill-dataset (verbatim)
Kill: Open Domesday mill renders joined to DEM- and gauge-derived stream power. Elasticity indistinguishable from 0, or R^2 below 0.1 everywhere, kills it.
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 reads, no searches, no DB queries); title list supplied at launch, titles only, no verdicts or dossiers seen; prompt pre-committed in docs/GOAL_CONJECTURES_BATCH2_20260705.md (7e55eb8). Novelty unverified by construction.
Novelty / leakage triage
Adjacent (closely related prior work exists)
Mill siting has been linked quantitatively to stream-power-adjacent geomorphology (the 2023 knickpoint study), Darby's tradition maps the ~5,600 Domesday mills descriptively, and Langdon's economics treats mills as rent assets for 1300-1540; the render-vs-DEM-stream-power elasticity regression on Domesday data was not located.
- 'Shaping landscapes and industry: linking historic watermill locations to bedrock river knickpoints' (2023) — Mill-siting vs geomorphic power proxies
- Langdon, 'Mills in the Medieval Economy: England 1300-1540' (OUP) — Mills as quantitative economic data, later period
Predictions
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