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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.996
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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