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Record W2473583524 · doi:10.7202/1036257ar

Aux racines d’une exclusion féminine si « naturelle » : la chronique jazz, un univers très « masculin »

2016· article· fr· W2473583524 on OpenAlexvenueno aff
Marie Buscatto

Bibliographic record

VenueRevue multidisciplinaire sur l emploi le syndicalisme et le travail · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsJazzHumanitiesArtEthnologyArt historySociology

Abstract

fetched live from OpenAlex

Le « monde » des chroniqueurs de jazz est, en France, un monde d’hommes. Non seulement les femmes sont rares, en proportion, à signer des articles ou à réaliser des émissions de radio portant sur le jazz (moins de 10 %), mais les femmes présentes y occupent des positions marginalisées. Comment expliquer que la chronique jazz reste un univers si fermé aux femmes malgré les efforts contraires mis en oeuvre par les hommes chroniqueurs de jazz ? Cet article vise à éclairer aussi bien la faible présence et la position marginalisée des femmes dans cette activité que les manières dont certaines réussissent « quand même » à exercer l’activité de chroniqueuse de jazz. À travers ce cas exceptionnel – par sa petite taille et par la force de la marginalisation des femmes – apparaissent ainsi de manière exacerbée les processus sociaux transversaux de marginalisation et de transgression des femmes dans des univers très « masculins » – professionnels, sportifs, culturels, artistiques ou militants.

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)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0150.016
Scholarly communication0.0080.005
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.079
GPT teacher head0.371
Teacher spread0.292 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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