“It’s a Reflection of How I Feel Inside. . . of How I’m Looking Outside”: Racialized Young Women Athletes’ Descriptions of Body Self-Compassion in Canada
Bibliographic record
Abstract
Body self-compassion, a kind and nonjudgmental attitude toward the body, may be beneficial for racialized young women athletes in sport. Researchers have found that women athletes may experience body image pressures that may lead to being preoccupied with their bodies’ form and function. This could be heightened for racialized young women because of their unique bodies and the pressures to fit a majority nonracialized body ideal. Thus, a compassionate approach to the body may be particularly important to cultivating positive sport experiences for racialized young women athletes. The purpose of this qualitative descriptive study was to explore how racialized young women athletes in Canada describe their experiences of body self-compassion. Eight racialized young women athletes (Mage = 16.63 years, SD = 1.19) engaged in two semistructured one-on-one interviews and reflexive photography. A reflexive thematic analysis was conducted, and three themes were generated: (a) representing my racialized body compassionately and authentically, (b) learning to treat my racialized body with compassion, and (c) understanding the attitudes and emotions about my racialized body. Despite the challenges related to having unique bodies in sport for racialized young women athletes, body self-compassion might foster resilience and body acceptance through developing a more adaptive and compassionate relationship with the body. The experiences of the racialized young women athletes emphasize the importance of promoting body self-compassion in sport, which could potentially pave the way for more inclusive and accepting environments for all athletes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".