A part of, yet apart from the team: Substantive membership and belonging of trans and nonbinary athletes
Bibliographic record
Abstract
Increasingly, bills and policies prohibit the participation of trans women in competitive sport. The current sociopolitical moment begs the following question: how do interpersonal interactional moments function alongside formal policies and rules to shape trans athletes' experiences of belonging in sport? Although formal institutional rules govern trans athletes' ability to compete in sport, informal social sanctioning also denies these athletes equitable, or even de facto, membership in sport. I draw upon two case studies to explore trans athletes' experiences of membership in elite "women's" sport. I apply Evelyn Nakano Glenn's work on citizenship to consider how trans athletes' experiences of belonging are influenced by both formal rules imposed by organizations as well as informal social interactions with members of their sporting communities. Inclusion is not synonymous with membership. Trans athletes render visible the ways in which this system functions to contain the diversity of humanity's gender expression.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.026 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".