Relative age‐related participation and dropout trends in German youth sports clubs
Bibliographic record
Abstract
Relative age describes a youth's age within their age group cohort. Compared to relatively younger peers, relatively older youth in an annual age group cohort have been found more likely to be selected to sports teams, and to receive higher grades in education. This study examined the influence of youth sport participants' relative age on participation and dropout. Using data from the 1995 German Youth Sport Survey (N total=2612), comparisons (stratified by gender and sport type) were made between the relative age of current and former participants. Analyses also considered the type of school youths were enrolled in while exploring the influence of relative age on sport participations. No relative age effects for dropout emerged among males in team or individual sport contexts. Female dropouts were more likely to be relatively older (Q1, OR adjusted: 0.52, 95% CI: 0.34-0.80; Q2, OR adjusted: 0.55, 95% CI: 0.36-0.84; Q3, OR adjusted: 0.59, 95% CI: 0.39-0.89), an effect that was mirrored among 'artistic' sport participants. Boys and girls in schools that were for children of higher academic proficiency were more likely to be currently participating in sport. Findings suggest that relative age-related dropout effects may be context sensitive and different for males and females. For the most part, relative age did not appear to have any relationship with dropout in this sample, with some notable exceptions for females. Overall, factors such as the type of school youths were enrolled in appear to be a more salient influence on sport participation than relative age.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".