Bibliographic record
Abstract
Abstract This chapter investigates resistance initiated by trans athletes and their allies and evaluates developments in policies and practices at the international, national and local levels of sport. The limitations of liberal approaches to trans inclusion are identified, and examples of radical, transformative approaches grounded in intersectional feminism are presented, together with an analysis of the crucial roles of solidarity work provided by allies and accomplices. The potential offered by boxing as a route to empowerment for trans and nonbinary participants is examined. An overview of recent media coverage of trans athletes suggests that global resistance is having an important impact on mainstream journalism. Finally, this chapter outlines how a successful campaign challenging a trans-exclusive Sport Canada's 2022 opinion survey and a recent report by Canadian Centre for Ethics in Sport provide further evidence of effective resistance to trans exclusion in sport.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.035 | 0.012 |
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".