Varsity athletes’ fitness perceptions, fitness-related self-conscious emotions and depression when sidelined from play
Bibliographic record
Abstract
OBJECTIVE: Explore the association between varsity athletes' fitness perceptions and symptoms of depression while sidelined from sport for an extended period, and test whether fitness-related self-conscious emotions (i.e., shame, guilt, authentic pride, and hubristic pride) mediate this relationship. PARTICIPANTS: Varsity athletes (N = 124) from a large university in Canada where sports had been restricted for the past year due to the pandemic. METHOD: Participants completed a cross-sectional self-report survey. Regression analyses testing mediation (i.e., direct and indirect effects) were used to explore the main research aim. RESULTS: Controlling for age and gender, separate models demonstrated significant indirect effects of fitness perceptions on depression symptoms through shame, guilt, and authentic pride, but not through hubristic pride. CONCLUSION: Self-conscious emotions may be used as a tool to mitigate depression symptoms when varsity athletes are sidelined from sport for an extended period. Further research is needed to understand how self-conscious emotions develop when athletes are injured or retired.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".