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Record W2171648128 · doi:10.1123/ssj.23.3.273

Gender, Social Class, and the Sporting Capital–Economic Capital Nexus

2006· article· en· W2171648128 on OpenAlexaboutno aff
Carl Stempel

Bibliographic record

VenueSociology of Sport Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsNexus (standard)Cultural capitalSocial capitalSocial mobilityCapital (architecture)AthletesGender studiesDemographic economicsSociologyEconomicsSocial scienceGeography

Abstract

fetched live from OpenAlex

In “Do High School Athletes Earn More Pay?” Curtis, McTeer, and White reopened an important line of inquiry about the conversion of sporting capital to economic capital. They found associations between adolescent participation sports and adult income for Canadian men and women with some college education. The present study revises and extends Curtis and colleagues’ understanding of sport as cultural capital and its relation to economic capital, tests the nature of the high school varsity sport–adult income relationship for the United States, and examines gender and class differences in the degree to which adult sporting practices mediate the varsity sport–adult income relationship. The results show that American class and gender patterns of income and participation are similar to those found by Curtis and colleagues and that adult participation in sports more strongly mediates this relationship for men than for women. I conclude by proposing a gendered theory of sports as cultural capital to explain those differences.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.284
Teacher spread0.261 · 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

Citations37
Published2006
Admission routes1
Has abstractyes

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