Who the Heck Is Don Bradman? Sport Culture and Social Class in British Columbia, Canada*
Bibliographic record
Abstract
Les classes sociales et la culture sportive canadienne sont‐elles interreliées ? L'auteur, inspiré par les cadres conceptuels de classes sociales de Pierre Bourdieu et d'Erik Wright, dErit les résultats d'un travail exploratoire sur les classes sociales et le sport dans la province de Colombie‐Britannique. Son analyse utilise des données d'enquête originales afin de déterminer l'importance qu'ont les caractéristiques démographiques (sexe, âge et naissance), le capital (économique, culture1 et social) et les indicateurs néomarxistes des catégories sociales (comme la propriétééconomique, le contrôle sur le lieu de travail et les compétences professionnelles) sur l'étendue des connaissances sportives et sur la participation aux activités sportives. Cette analyse constitue donc un petit pas vers l'identification des classes sociales au Canada, soutenue ou délimitée par l'exercice des choix et des pratiques culturelles. Are social class and Canadian sports culture entwined? This article, inspired by the social class frameworks of Pierre Bourdieu and Erik Wright, describes results from an exploratory investigation of class and sport in the province of British Columbia. The analysis utilizes original survey data to determine the degree to which demographic characteristics (gender, age and nativity), capitals (economic, cultural and social) and neo‐Marxist indicators of class position (such as economic ownership, control in the workplace and job skill) predict breadth of sports knowledge and participation in sporting activities. The analysis therefore represents a small step towards identifying social classes in Canada that are sustained or delimited by the wielding of cultural tastes and practices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".