Journeying Through Sport With Self-Compassion: Athlete Narratives of Navigating Pressure and Struggle
Bibliographic record
Abstract
Overemphasis on performance in high-level sport can lead to declines in athletes' physical health, psychological well-being, and quality of life. Development of adaptive coping approaches, such as self-compassion, may help mitigate such threats to well-being. Informed by a narrative approach, this study explored how athletes high in self-compassion story their journey through sport, including their experiences of navigating pressure and struggle. Three women athletes high in self-compassion took part in two loosely structured one-on-one interviews. Narrative thematic and structural analyses were undertaken. Participants' narratives of Redefining, Rediscovery, Balance, Growth, and Transformation deviate from the performance narrative typically dominant within sport, and such alternative narratives may help future athletes story their lives in ways that promote well-being. Additional findings regarding athlete-generated language for self-compassion and its application further support efforts to tailor self-compassion within sport contexts.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".