Beyond Boundaries: The Development and Potential of Ethnography in the Study of Sport and Physical Culture
Bibliographic record
Abstract
Ethnographic approaches to the study of sport and physical culture have developed primarily within physical education and kinesiology programs and are typically framed in dialogue with sociological theorizing of agency, structure, power, and inequality. Beginning with reference to anthropology and sociology, we review the emergence, development, and subsequent transdisciplinary travels of ethnographic study of sport and physical culture. In doing so, we underscore the importance of theory, context, and disciplinary tradition in the development of sporting ethnographies. We then critically outline the place of ethnography in physical cultural studies (PCS). Rather than exhuming existing debates about the originality and uniqueness of the PCS enterprise, we highlight the need to decenter the hyper-reflexive researcher and advocate for the consideration of pleasure in ethnographic studies to achieve the interventionist goals PCS protagonists set themselves.
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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 | 0.102 | 0.095 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.011 | 0.071 |
| Scholarly communication | 0.019 | 0.039 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".