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Record W4384911766 · doi:10.3138/ijcs-2022-0005

La Star de soccer, figure de « la diversité » au Canada

2023· article· fr· W4384911766 on OpenAlexaffvenueabout
Bachir Sirois-Moumni, Jean-Charles St-Louis

Bibliographic record

VenueInternational Journal of Canadian Studies · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversité du Québec à MontréalUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Dans cet article, nous soutenons que les Stars du soccer au Canada et au Québec, telles que Alphonso Davies et Patrice Bernier, sont des exemples de la « production de la diversité » dans le paysage culturel sportif et médiatique canadien. Davies et Bernier y représentent des formes culturelles qui intègre dans une intrication complexe le sport spectacle, sa marchandisation et la création de mythes collectifs. Dans un système sportif longtemps dominé par le hockey, ils représentent tous deux des points nodaux dans les luttes incessantes autour de la (re)définition de la citoyenneté et de l’appartenance. En explorant notamment leur mise en récit paradoxale comme « immigrants idéaux » au prisme de leur racisation, cet article contribue à éclairer les dynamiques culturelles propres de l’environnement du sport et des médias dans les contextes canadien et québécois. Notre analyse vise ainsi à montrer comment les récits mobilisés pour raconter les trajectoires de Davies et Bernier au sein du complexe culturel média/sport canadien participent de la gouvernementalité propre aux régimes inspirés du multiculturalisme et de l’interculturalisme, reproduisant les inégalités et la discrimination à même un discours qui se veut ouvert et bienveillant.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.036
GPT teacher head0.318
Teacher spread0.282 · 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.

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

Citations2
Published2023
Admission routes3
Has abstractyes

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