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Record W4285208452 · doi:10.36253/978-88-5518-565-3.10

L’innovation de produit et les dynamiques de l’offre sur les marchés des étoffes de laine dans la France du XVIIIe siècle. Quelques aperçus quantitatifs et qualitatifs

2022· book-chapter· en· W4285208452 on OpenAlexfundno aff
Julien Villain

Bibliographic record

VenueFirenze University Press eBooks · 2022
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
FundersLunds UniversitetUppsala UniversitetUniversity of TorontoUniversity of OxfordUniversity of Cambridge
KeywordsProduct (mathematics)Production (economics)HumanitiesAgricultural scienceEconomyEconomicsArtMathematics

Abstract

fetched live from OpenAlex

The consumption of fabrics in 18th-Century Europe experienced a notable expansion - particularly in France, a major hub for the diffusion of clothing fashions across the continent. Driven by manufacturers and merchants, the supply of new product varieties has been highlighted in several French production areas. However, a general assessment of the scale and rates of product innovation in the market for fabrics has never been attempted. By varying the scales of analysis, from the statistics the French monarchy used to assess production in the various production areas to store inventories, we can try to estimate the secular movements of product innovation. Over the course of the 18th century, the market for medium or poor quality cloths appears to have been particularly dynamic: the proportion of new varieties at the end of the century approximated two-thirds of the stock. There was also a tendency to diversify the supply - which ended up making the "world of goods" difficult to read, many product innovations being present on the market only for a while.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.047
GPT teacher head0.230
Teacher spread0.183 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFirenze University Press eBooksSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207