MétaCan
Menu
Back to cohort
Record W6996426937

Sex Integration in sport and physical culture: Promises and pitfalls

2017· book· en· W6996426937 on OpenAlexaff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2017
Typebook
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsDouglas College
Fundersnot available
KeywordsRelevance (law)AthletesVisionField (mathematics)PoliticsResistance (ecology)
DOInot available

Abstract

fetched live from OpenAlex

"Scholars working in the academic field of sport studies have long debated the relationship between sport and gender. Modern sport forms, along with many related activities, have been shown to have historically supported ideals of male superiority, by largely excluding women and/or celebrating only men's athletic achievements. While the growth of women's sport throughout the 20th and 21st centuries has extinguished the notion of female frailty, revealing that women can embody athletic qualities previously thought exclusive to men, the continuation of sex segregation in many settings has left something of a discursive 'back door' through which ideals of male athletic superiority can escape unscathed, retaining their influence over wider cultural belief systems. However, sex-integrated sport potentially offers a radical departure from such beliefs, as it challenges us to reject assumptions of male superiority, entertaining very different visions of sex difference and gender relations to those typically constructed through traditional models of physical culture. This comprehensive collection offers a diverse range of international case studies that reaffirm the contemporary relevance of sex integration debates, and also articulate the possibility of sport acting as a legitimate space for political struggle, resistance and change."--From the publisher description.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
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 head0.008
GPT teacher head0.229
Teacher spread0.221 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueArca (British Columbia Electronic Library Network)Same topicSports, Gender, and SocietyFrench-language works237,207