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Record W2000380387 · doi:10.1177/1012690214556912

‘French football needs more women like Adriana’? Examining the media coverage of France’s women’s national football team for the 2011 World Cup and the 2012 Olympic Games

2014· article· en· W2000380387 on OpenAlexaff
Barbara Ravel, Marc Gareau

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsLaurentian University
Fundersnot available
KeywordsFootballNationalismAthletesContext (archaeology)Football teamSociology of sportPolitical scienceMedia studiesGender studiesMedia coverageSociologyAdvertisingHistoryLawPoliticsMedicine

Abstract

fetched live from OpenAlex

As reflected by the London 2012 Summer Olympic Games, global women’s participation in sports seems to currently be at its highest levels ever. However, equality between men and women has not yet been reached when one examines how men and women involved in sports are represented in the media. Sportswomen have appeared to be typically portrayed as feminine individuals and not systematically referred to as ‘just athletes’. France’s women’s national football (soccer) team was followed during the 2011 World Cup and the 2012 Olympic Games through two different French websites: the official website of the French football federation and a website devoted to sports news. Using a feminist Foucauldian discourse analysis, this paper presents how these important websites for the media coverage of football in France portrayed the women’s national team and its players during two major international competitions, oscillating between gendered individuals and ‘real’ or legitimate athletes. It also highlights how cultural context and nationalism contributed to such (re)presentations of Team France.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.309
Teacher spread0.280 · 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 teacher head, not a consensus.

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

Citations46
Published2014
Admission routes1
Has abstractyes

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