Radical Sports Journalism?: Reflections on ‘Alternative’ Approaches to Covering Sport-Related Social Issues
Bibliographic record
Abstract
In this paper we report findings from a study of what we are calling ‘sports media activism’ (or ‘SMA’). We were interested in how, why, and for what purposes a range of sport media activists are engaging with sport-related social issues through different media. This research contributes to a limited body of literature on sport-related activism, and especially to thinking about the role of media in sport-related activism. By ‘taking sport seriously’ in this paper, we consider what might be learned by focusing on the experiences of those creating and contributing to sport-related activism and alternative media. Also, by assessing a range of projects that we include under the sport media activism umbrella—each with their own goals and intentions for change—we think there is room to inform thinking about ‘alternative’ media more broadly.
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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 | 0.022 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.017 | 0.077 |
| Scholarly communication | 0.031 | 0.027 |
| Open science | 0.004 | 0.022 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 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".