An exploration of women athletes' self-compassion, sport performance perceptions, and well-being around an athlete-identified important competitive event
Bibliographic record
Abstract
Women athletes have expressed hesitation regarding adopting self-compassion in sport, stating that self-compassion may lead to complacency while self-criticism helps them achieve their goals in sport (Ferguson et al., 2014; Sutherland et al., 2014). However, quantitative research has identified that self-compassion is, and self-criticism is not, related to women athletes' sport performance perceptions (Killham et al., 2018). The contrasting findings suggest that the relationship between self-compassion and sport performance perceptions is complex. Moreover, perceived importance of competitive events might further impact how athletes perceive and relate to their sport performance experiences. The current study adopted a qualitative collective case study approach to explore and describe women athletes' self-compassion, sport performance perceptions around an athlete-identified important competitive event. Nine competitive women athletes between 19 and 27 years participated in one-on-one interviews before and after their self-identified event. Data were analyzed and are represented by a holistic case description, one overarching theme Continuing to Excel in Sport, and two sub-themes: (i) Re-framing Criticism and (ii) A Determined Approach. The generated themes indicate that the athletes benefit from a self-compassionate perspective during the preparing, competing, and reflecting stages of their important competitive events. Overall, the results highlight that women athletes utilize self-compassion to promote their sport performance perceptions when at different times and for a variety of reasons around their important competitive events to excel in sport. This research was funded by the Social Sciences and Humanities Research Council of Canada (SSHRC).Acknowledgments: This research was funded by the Social Sciences and Humanities Research Council of Canada (SSHRC).
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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 | 0.004 |
| 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 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 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".