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Record W4285186249 · doi:10.36253/978-88-5518-565-3.05

Drapers and tailors. Fashion and consumption in medieval Catalonia

2022· book-chapter· en· W4285186249 on OpenAlexfundno aff
Lluís To Figueras

Bibliographic record

VenueFirenze University Press eBooks · 2022
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedieval and Early Modern Iberia
Canadian institutionsnot available
FundersLunds UniversitetUppsala UniversitetUniversity of TorontoUniversity of OxfordUniversity of Cambridge
KeywordsFlemishCommerceConsumption (sociology)PaymentBusinessEconomyOrder (exchange)Service (business)Ancient historyGeographyEconomicsArtHistoryArchaeologyFinance

Abstract

fetched live from OpenAlex

The range of textiles available in markets across the western Mediterranean expanded significantly during the thirteenth century. Cloth retailers, or drapers, constituted a fundamental link between merchants and consumers, using a network of local markets with specific spaces for selling cloth. They were able to sell a wide range of commodities, including Flemish and French woollens, to satisfy a growing demand. Between 1250 and 1350, there were also tailors almost everywhere, some at the permanent service of an aristocratic court, such as the kings of Aragon, but most of them worked as independent entrepreneurs offering their services in exchange for specific payments. Therefore both drapers and tailors formed small partnerships and frequently used credit in order to reach all levels of medieval society.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.044
GPT teacher head0.189
Teacher spread0.146 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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