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Record W4405611244 · doi:10.7202/1114860ar

De San Francisco (1982) à Paris (2018)

2024· article· fr· W4405611244 on OpenAlexvenueno aff
Sylvain Ferez, Philippe Liotard

Bibliographic record

VenueAnthropologie et Sociétés · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

En 1982, Frédéric Baumann est le seul Français à participer aux épreuves sportives des premiers Gay Games de San Francisco. Quatre ans plus tard, il fait partie de la délégation française mise en place par Pascal Bibollet pour assister à la deuxième édition de l’événement. À son retour naît le Comité Gay Paris Île-de-France, un club omnisport à l’origine de la Fédération française de sport gay et lesbien, qui portera la candidature de Paris à l’organisation des Gay Games en 2018. À partir de récits de vie recueillis auprès des principaux acteurs à l’origine du sport LGBT français, lesquels sont couplés aux informations contenues dans les bulletins des structures fédératrices de ce sport et, par ailleurs, dans la presse gay française, l’article montre comment l’histoire de cette communauté sportive et des événements qu’elle organise contribue à une anthropologie du corps en interrogeant les rapports entre genre et performance, mais aussi entre sexualité et maladie, visibilité et invisibilité, au temps du sida. Les résultats éclairent les tensions associées à ce double questionnement, notamment dans la prise en compte des sportives lesbiennes et dans l’inclusion des personnes séropositives au VIH.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.178
Threshold uncertainty score0.596

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1780.034

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 head0.190
GPT teacher head0.536
Teacher spread0.345 · 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
Published2024
Admission routes1
Has abstractyes

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