MétaCan
Menu
Back to cohort
Record W2134926973 · doi:10.7202/008047ar

Sport’s Impact on the Francophoneness of the Alberta Francophone Games (AFG)

2004· article· en· W2134926973 on OpenAlexaffvenueabout
Christine Dallaire

Bibliographic record

VenueEthnologies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFrenchExcellenceContext (archaeology)Promotion (chess)RecreationPolitical sciencePublic relationsSociologyHumanitiesGeographyLawPolitics

Abstract

fetched live from OpenAlex

This article discusses the conflict between two discourses on “sport” and how their intersection with discourses on the “francophone” shaped the Alberta Francophone Games (AFG). A brief description of the two discourses is articulated in the context of the AFG. Whereas the “discourse of excellence” emphasizes both sporting competitiveness and the reproduction of established technical and organizational standards, the “discourse of participation” promotes recreational sport and the modification of structural and technical criteria. The author outlines the three principal debates generated by the interaction of sport and francophone discourses: competitive vs. recreational Games; smaller “francophone” Games vs. bigger French-speaking Games; and sport vs. francophoneness. The conclusion points to the effects of this muddled discursive space on organizers’ practices leading them to focus on the development of an expertise in sport performance and in sport management rather than developing a more sophisticated knowledge of the promotion of francophoneness.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.247
Threshold uncertainty score0.498

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.011
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.308
Teacher spread0.285 · 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

Citations9
Published2004
Admission routes3
Has abstractyes

Explore more

Same venueEthnologiesSame topicSport and Mega-Event ImpactsFrench-language works237,207