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Record W4283363508 · doi:10.3917/eh.106.0163

Le sportswear au Palais Galliera : De la constitution des collections à la disponibilité de matériaux pour l’histoire

2022· article· fr· W4283363508 on OpenAlexaff
Sophie Grossiord, Marie-Laure Gutton, Laurine Manac’h

Bibliographic record

VenueEntreprises et histoire · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsArtHumanitiesConstitutionPolitical scienceLaw

Abstract

fetched live from OpenAlex

Modern sneakers are characterised by a link to athletic sports, the use of synthetic materials and visible branding. They have been popular as everyday shoes for over forty years. This article takes a comparative approach and focuses on the origins of this category of footwear, as both manufactured object and market segment, in Britain, West Germany and the United States in the three decades after the Second World War. During this period, mass markets for sneakers emerged alongside the growing popularity of sports as recreational leisure activities as well as state initiatives that promoted physical fitness. Sneakers were conceived as specialist shoes for sports and training and were marketed as distinct from their more simple predecessors. In each market, however, subtle differences emerged in the development of the modern sneaker. This article highlights the specificities in each of the three national contexts examined while also emphasizing characteristics shared across western economies emerging from the Second World War. It argues that sneaker design and marketing were shaped by shifts in the nature of sport, developments in technology and materials, rivalries between different producers and the pressures of international trade. The analysis of the creation of modern sneakers casts new light on the recent past and the evolution of manufactured products while also showing how wider historical forces and the prosaic realities of business influence the development of markets for consumer goods.

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)0.004
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.598

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0120.012
Scholarly communication0.0070.002
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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

Citations0
Published2022
Admission routes1
Has abstractno

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