Men athletes' lived experiences of self-compassion through the lens of masculinity
Bibliographic record
Abstract
Self-compassion has shown promise as a resource for helping athletes deal with emotionally difficult experiences in sport. However, the majority of research on athletes' self-compassion featured populations of exclusively women athletes or both women athletes and men athletes in the same studies. Accordingly, less is known about men athletes' self-compassion and how men athletes might experience and apply self-compassion. Considering that past research suggests differential representations of masculinities impact men's self-compassion uniquely and that masculinity is at the core of most emotionally difficult sport-specific experiences for men athletes, the link between men athletes' self-compassion and masculinities is particularly understudied. Our research purpose was to explore men athletes' lived experiences of self-compassion through the lens of masculinity. We recruited 16 men athletes (Mage = 21.4 years; SD = 3.7) to participate in two semi-structured interviews with a reflexive photography task between interviews. The results of our study are framed within two overlying categories (i.e., masculinity, self-compassion), with multiple themes in each category. Our findings suggest that the men athletes in our study generally represented a version of masculinity (i.e., inclusive masculinity) that is premised on the acceptance of varied embodiments of masculinity. Importantly, they were also open to practicing self-compassion, particularly if it helps them improve their sport performance. Thus, self-compassion appears to be a useful resource for men athletes, and future research should focus on the development of a self-compassion intervention tailored to men athletes, with consideration given to the potential role of masculinity in men's difficult sport experiences.Acknowledgments: This work was supported by the Social Sciences and Humanities Research Council of Canada (SSHRC) - (862-2016-0004)
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".