Experience in competitive youth sport and needs satisfaction: the Singapore Story.
Bibliographic record
Abstract
The purpose of this study was to examine the relationship between sport experiences and psychological needs satisfaction of Singapore high school athletes who were involved in inter-school competition. A total of 1250 school athletes from 22 sports participated in the study. The athletes were between 13 and 18 years old and had an average of 3 years of experience in school sport (SD=.18). Cluster analysis was employed to identify homogenous groups based on the seven developmental experiences domains of the Youth Experience Survey (YES 2.0; Hansen & Larson, 2005). A one-way analysis of variance (ANOVA) was conducted to determine whether differences existed among the clusters in terms of psychological needs satisfaction (i.e., sense of autonomy, perceived competence and relatedness). The results of the cluster analysis showed that there were different subgroups of athletes with distinct developmental experiences, and they varied in the degree to which their psychological needs were satisfied. Generally, subgroups that had high levels of positive experiences and low levels of negative experiences in sport had better fulfillment of psychological needs. It is important to ensure that policies and programmes are formulated, delivered and monitored effectively to promote positive experiences for youth who are involved in competitive sports.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".