Are players born earlier in the calendar year more likely to experience elite dropout?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The relative age effect (RAE) has been consistently documented among elite football players at youth level but has been shown to dissipate at senior level. This research explores whether players born earlier in the calendar year, initially selected to play at an elite level, are more likely to be identified as dropouts at a later date. Statistical analysis is used to test for the presence and extent of RAE from a sample of almost 9,000 elite underage national league football players in the Republic of Ireland. Results reveal a bias towards players born early in the calendar year, and in the first quarter in particular. The bias is most pronounced at the youngest age group included in the analysis, at U15 level. Further statistical analysis assesses the differences between the observed distribution of births of 163 players who were identified as dropouts and the expected distribution of births. Players born earlier in the calendar year are also found to be more likely to be identified as dropouts from underage national league football in the Republic of Ireland. In comparison, their relatively younger counterparts, although less likely to be selected to play at an elite level initially, are significantly less likely to be identified as dropouts. Recommendations made based on the results include adopting a more strategic and long-term approach to be adopted during the initial player selection processes, and further education of coaches regarding youth development as well as the presence and consequences of RAE.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it