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AI-generated conjecture · below the evidence/publication boundary

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Monastic Bass diffusion

Status: Anticipated · untested

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)

Monastic Bass diffusion. The Bass diffusion model, the workhorse of new-technology adoption studies, splits uptake into two forces: an innovation coefficient p (adopters persuaded by external influence) and an imitation coefficient q (adopters copying their neighbours). Medieval Europe's watermill boom is a textbook diffusion process, and the monasteries — above all the great orders with their engineered watercourses — were its most systematic external carriers, importing the technology into regions rather than waiting for it to spread farm to farm. The conjecture is that regional watermill adoption follows a Bass curve whose innovation coefficient is set by monastic presence: fit the curve region by region, and p should rise with monastic density while the imitation term stays comparatively stable. Monks, in short, were the p-parameter of medieval technology.

Prediction clause (verbatim)

For each region in a corpus of dated mill records, fit a Bass diffusion model to the cumulative count of first-attested watermills and extract the innovation coefficient p and imitation coefficient q; independently score monastic presence (houses per unit area, date-weighted). Primary clause: across regions, monastic presence correlates positively with fitted p at r >= 0.4, and this correlation is significantly stronger than the corresponding correlation with q. The verdict follows the primary clause.

Kill-dataset (verbatim)

dated mill records by region.

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 has been linked to the following subject pages on Inferpedia — an encyclopedia of the missing, now in limited preview.

Provenance

Run: Imported conversation (verbatim harvest) · model: claude-fable-5

Origin: operator conversation with Claude Fable 5 at max effort, conducted 2026-07-03, relayed verbatim by the operator into the shepherd session on 2026-07-04. No ModelRun exists for the original generation (it happened outside the pipeline); this transcript file is the canonical capture. Transcript path: docs/generated/conjecture_harvest_fablemax_20260703.md. Model (operator-attested, not pipeline-recorded): claude-fable-5. Novelty disclaimer (verbatim, load-bearing -- rule 4): "Same caveat as before, doubled: at 100 items across all of archaeology and history, some of these will have cousins in the literature I can't check. What I can guarantee is the format — each links two things not normally linked, and each names the dataset or measurement that would kill it."

Novelty / leakage triage

anticipated in the literature — this exact test has never been run

The monks-drive-mill-diffusion thesis is standard historiography (Benedictine holdings at Domesday; Cistercians as the main force of hydraulic-technology diffusion), so the qualitative join is published. The Bass-model formalization — monastic presence as the innovation coefficient p, fitted against dated mill records by region — was not located.

Predictions

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