Community Size in Youth Sport Settings: Examining Developmental Assets and Sport Withdrawal
Bibliographic record
Abstract
Despite the popularity of youth sport programs, little research has examined the psychosocial benefits assumed to stem from involvement. Some studies suggest birthplace influences the development of elite athletes, but little work has examined other influences of community contexts. The purpose of this study was to examine relationships between young athletes’ community size, developmental assets, and sport involvement. Current and recently withdrawn competitive swimmers (N = 181) completed the Developmental Assets Profile (Search Institute, 2004). Athletes from smaller cities had significantly higher developmental asset scores for support, commitment to learning, and boundaries/expectations. Further, community size was a significant predictor of withdrawal. Findings suggest community context should be given additional attention in youth sport literature. Malgré la popularité des programmes sportifs pour les jeunes, peu d’études examinent les bienfaits psychosociaux associés à la participation. Parmi celles menées, certaines portent à croire que le lieu de naissance pourrait avoir une incidence sur le développement des athlètes d’élite. Par contre, peu de travaux se sont intéressés aux autres influences des contextes communautaires. Cette étude examine les liens entre la grosseur de la collectivité où habitent les jeunes athlètes, les atouts développementaux et la participation sportive. Les auteurs ont demandé à des nageurs compétitifs actifs ou et ayant récemment abandonné le sport (N = 181) de répondre à un questionnaire pour déterminer le profil des atouts développementaux (Search Institute, 2004). En ce qui a trait aux atouts développementaux, les athlètes habitant ces villes ont obtenu des cotes nettement supérieures en ce quant au niveau d’appui, à l’engagement à apprendre et aux attentes et limites. En outre, la grosseur de la collectivité semble constituer une importante variable explicative d’abandon du sport. Ces résultats portent à croire que la documentation sportive axée sur les jeunes devrait s’intéresser davantage au contexte communautaire.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".