Self-Compassion and Reactions to a Recalled Exercise Lapse: The Moderating Role of Gender-Role Schemas
Bibliographic record
Abstract
Exercise is good for health and well-being, yet people experience lapses when trying to adhere to exercise. Self-compassion may help people cope with exercise lapses. Most research on self-compassion and exercise has been conducted with women; men may also benefit from self-compassion. No research has examined whether gender-role schema influences responses to exercise lapses. The authors examined both male and female adult exercisers (N = 220) who reported their self-compassion, recalled an exercise lapse, their reactions to the lapse, and their self-identification of masculinity and femininity. After controlling for self-esteem, age, and lapse importance, self-compassion negatively related to emotional responses (p < .001), rumination (p < .001), extrinsic motivation (p = .004), and positively related to intrinsic motivation (p < .001). Masculinity moderated the relationships between self-compassion and amotivation (p = .006), and identified regulation (p = .01). Self-compassion may be an effective resource for exercisers, especially those who identify as highly masculine.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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".