Adjusting Identities When Times Change: The Role of Self-Compassion
Bibliographic record
Abstract
Adjusting identity standards may be preferable to relentless pursuit or abandonment of an identity when facing an identity-challenging life transition. Self-compassion (SC) can help people adjust to challenges. The authors examined whether SC was associated with identity adjustment, exercise, and the moderating effect of identity-behavior discrepancy in 279 women exercisers who reported reduced exercise in motherhood. Participants completed the Self-Compassion Scale and reported the extent of and reflected on their identity discrepant behavior (reduced exercise). Reactions to discrepancy (acceptance, shame, guilt, and rumination), correlates of identity adjustment (subjective well-being, autonomous motivation, controlled motivation, and role conflict), and exercise behavior were assessed. SC associated positively with acceptance, correlates of successful identity adjustment, and exercise behavior. SC associated negatively with shame, rumination, and correlates of unsuccessful adjustment. SC may help exercise-identifying women who exercise less after becoming mothers adaptively cope with this identity challenge and continue exercising.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".