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Record W4233974118 · doi:10.31219/osf.io/ceqvx

The social patterning of sport: Regular sports participation and stratification in Canada

2020· preprint· en· W4233974118 on OpenAlexaboutno aff
Adam Gemar

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyEliteSocial stratificationRelevance (law)NeglectSocial scienceInequalityEmpirical researchEpistemologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

The participation in different forms of leisure has often been ascribed the power to reflect and reproduce social inequalities. While some came before, this intellectual endeavor increased substantially with the seminal work of Pierre Bourdieu’s Distinction. While Bourdieu’s writings on culture did not neglect sports, sport is often neglected in subsequent studies of culture. Most of the subsequent theoretical and empirical work on culture has focused upon music and the arts, many also arguing that Bourdieu’s work is now dated. This paper seeks to provide an updated and comprehensive re-examining of sports participation. For these investigations, I use large-scale survey data and various statistical methods to test the relevance of the Pierre Bourdieu’s foundational theories and explain these patterns. The findings show direct sports participation relying primarily on dispositions towards the body which are stratified by education and income, especially for the most elite sports. These results therefore highlight the contemporary relevance of Bourdieu’s theories of the relationship between sports, social class, and the stratification thereof.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.031
GPT teacher head0.302
Teacher spread0.271 · 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 designObservational
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

Citations0
Published2020
Admission routes1
Has abstractyes

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