Social identity, group-based self-conscious emotions, and change in sport experiences among female youth involved in sport
Bibliographic record
Abstract
Compared to males, adolescent females are less likely to be involved in team sport, drop out faster, and report lower perceptions of positive sport outcomes (e.g., enjoyment) and higher negative outcomes such as anxiety. Predictors of youth sport experiences need to be identified to help keep more females involved in sport. Based on theories of emotion and motivation, the social context - including social identity and group-based emotions - of youth sport may be important factors. This study examined the association between social identity in sport and change in perceptions of sport enjoyment, commitment, and anxiety over two years, and tested experiences of group-based (teammate) self-conscious emotions as mediators of the associations among adolescent females involved in team sport. Female youth participants (N = 212) completed self-report surveys twice one year apart and data were analyzed using multiple mediation and residual change scores. Sport identity was a significant (p < .05) predictor of change in enjoyment and commitment (R2 = .38 & .31, respectively) with the group-based emotion of pride as a significant mediator of the associations. The model for change in sport anxiety (R2 = .14, p =.01) had no significant direct effect of sport identity yet teammate envy was directly associated with higher experiences of anxiety in sport over two years. Theoretically, these findings offer preliminary evidence linking the social context of sport frameworks of identity, collective emotions, and sport experiences. These findings also offer insight into practical strategies that may help foster positive experiences for female youth involved in sport.Acknowledgments: This study was funded by a Social Sciences and Humanities Research Council of Canada grant
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".