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Record W4285187815 · doi:10.36253/978-88-5518-565-3.23

Round Table comment. Fashion as an economic engine: continuity and change

2022· book-chapter· en· W4285187815 on OpenAlexfundno aff
Maryanne Kowaleski

Bibliographic record

VenueFirenze University Press eBooks · 2022
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
FundersLunds UniversitetUppsala UniversitetUniversity of TorontoUniversity of OxfordUniversity of Cambridge
KeywordsClothingConsumption (sociology)Quality (philosophy)Table (database)Production (economics)CommerceEconomyEngineeringEconomicsAestheticsHistoryArtComputer scienceEpistemologyMicroeconomicsArchaeologyPhilosophyDatabase

Abstract

fetched live from OpenAlex

This comment points out the medieval precedents of many developments characterized as new in the early modern manufacture, sale, and consumption of fashionable textiles and clothing, although these developments were more rapid and intense in the later centuries. There was, for example, a significant break in the traditional process of technological innovations in the second half of the eighteenth century, when a series of complementary inventions radically improved the production and quality of textiles. In terms of commercial strategies and consumer behavior, however, there was less significant change, although the role of the second-hand trade deserves closer attention. The comment ends by highlighting how speakers have drawn on new methodologies and sources fo understanding the relationship between fashion and the economy

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)0.012
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.057
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.006
Open science0.0030.003
Research integrity0.0270.019
Insufficient payload (model declined to judge)0.0570.030

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 head0.052
GPT teacher head0.194
Teacher spread0.142 · 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
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

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