Social Justice, Sport, and Sociology: A Position Statement
Bibliographic record
Abstract
Amidst widespread inequality, advocates of sport and physical activity have proposed ways in which sport might support those on the social, economic, and geographic margins. In this essay, we consider the place and role of sport in responding to various forms of inequality, and reflect upon its place in pursuing social justice. In so doing, we bring a perspective of critical sociology to the question(s) of whether and how sport can play a role in responding to inequality. Our main argument is that sport has had, and continues to have, a place and role in the pursuit of social justice, but only in so far as sport’s advocates are willing and able to differentiate between justice and charity. To build this case, we draw on the differentiation between the dominant and transformative models of sport for development.
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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 | 0.014 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.015 | 0.073 |
| Scholarly communication | 0.020 | 0.024 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.032 | 0.033 |
| Insufficient payload (model declined to judge) | 0.004 | 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".