AI-generated conjecture · below the evidence/publication boundary
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Wright's law in clay
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)
Wright's law in clay. This joins Wright's law — the industrial learning curve, under which performance improves as a power law of cumulative production — to the humblest of ancient mass products, amphorae and lamps. Wright's law is usually treated as a discovery of twentieth-century aircraft manufacture, but its mechanism is generic: every unit made is practice, and practice tightens tolerances. If ancient workshops learned the same way, then dimensional standardization — measured as the coefficient of variation (CV) of amphora and lamp dimensions — should fall as a power law of cumulative regional output, exactly the functional form of the modern learning curve, two millennia early. The prediction is quantitative and directional: regions and periods with larger cumulative production should show proportionally tighter CVs, the decline tracing a straight line on log-log axes rather than a loose downward drift with calendar time.
Prediction clause (verbatim)
For each regional ceramic industry in a dataset joining typology metrics to production estimates, compute the coefficient of variation of key dimensions (amphora height and capacity, lamp diameter) per period, and estimate cumulative output to that period; fit log(CV) against log(cumulative production) across periods and regions. Primary clause: the fitted relation must have a significantly negative slope with the power-law (log-log linear) form explaining at least half the variance in CV; if CV shows no dependence on cumulative output, or declines only with calendar time regardless of production volume, the claim fails. The verdict follows the primary clause.
Kill-dataset (verbatim)
typology metrics vs production estimates.
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
already answered in the literature
The connection between production intensity/scale and dimensional standardization (measured by coefficient of variation) is an established research program in archaeological ceramics — the standardization hypothesis literature states substantially this join, including for amphorae and with explicit production-scale studies. The Wright's-law functional form (CV as a power law of CUMULATIVE output) is the only unlocated refinement.
- Roux, 'Ceramic Standardization and Intensity of Production', American Antiquity — The standardization-production join
- Eerkens & Bettinger, 'Techniques for Assessing Standardization in Artifact Assemblages', American Antiquity — CV methodology
Its literature citations feed the frontier as source leads (2 leads below the evidence/publication boundary, not yet reviewed).
Predictions
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