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Record W6894241049 · doi:10.5284/1071481

Documentary evidence and the medieval pottery industry

2008· article· en· W6894241049 on OpenAlexaboutno aff

Bibliographic record

VenueArchaeology Data Service · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsPotteryDocumentary evidenceQuarter (Canadian coin)Style (visual arts)PeasantSign (mathematics)Copying

Abstract

fetched live from OpenAlex

Sampling of the widely dispersed documentary evidence allows a first, necessarily tentative analysis of the industry. Even in the pre-Conquest period there is some evidence for specialist potting; and early medieval potters were small-holders whose main occupation was pot-making, often in small communal groups. A 13th century increase in the number of potters and an improvement in the products represented a response to a more prosperous market, although there is little sign of improvement in the potters' own economic position. Following a general economic depression in the last quarter of the 14th century, many potters shifted their main interest to agriculture, potting standards declined and elaborate decoration disappeared. However, peasant potters continued to produce their own wares. Throughout the middle ages, direct copying and the exchange of ideas at central markets assisted the rapid movement of pottery styles between regions. Appended data include pre-1350 clay payments, land-holdings of potters before and after 1250, place name evidence, and distribution maps (Somerset, Sussex and W R Yorks) showing known sites of potteries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0100.011
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.093
GPT teacher head0.267
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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