A Case Study Exploring the Experiences of a Transgender Athlete in Synchronized Skating, a Subdiscipline of Figure Skating
Bibliographic record
Abstract
The inclusion of transgender athletes in sport challenges a number of long-standing cis-heteronormative beliefs within athletics at all levels of competition. There are limited studies examining the integration and experiences of transgender athletes within amateur sport. The following case study follows the experiences of a transgender synchronized figure skater, Mason, who was able to continue competing throughout his transition process. We conducted eight semi-structured one-on-one interviews with Mason, his teammates, his team manager, and his past and present coaches. All interviews were digitally recorded, transcribed verbatim, and subject to thematic analysis which resulted in four overarching themes: (a) building inclusivity: “promote a safe space,” (b) acknowledging stress, (c) disclosure: “I didn’t want to talk about my past,” and (d) celebration. Results are interpreted as recommendations for coaches on how to adopt inclusive practices to better support transgender athletes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".