Exploring self-compassion and eudaimonic well-being with young women involved in sport and exercise
Bibliographic record
Abstract
Sport and exercise can be emotionally difficult for young women. A potential resource to transform their experiences is self-compassion (SC) – treating oneself with kindness and understanding in the face of pain and failure (Neff, 2003). Although associated with a variety of well-being indices, SC has largely been neglected in the eudaimonic tradition that reflects psychological flourishing at one's maximal potential (Ryff, 1989, 1995). This study explored the association between SC and eudaimonic well-being (EWB) in young women involved in sport and exercise. Based on SC and EWB theoretical perspectives, the mediating associations of passivity, responsibility, initiative, and self-determination on the SC–EWB relationship were also considered. Participants (N=125; Mage=18.94) completed an online questionnaire of valid and reliable measures. SC and EWB were positively correlated (r=.71, p
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".