The Relative Age Effect in the 2013 FIFA U-17 Soccer World Cup Competition
Bibliographic record
Abstract
Purpose: The purpose of this study was to check the eventual existence of any Relative Age Effect (RAE) in the recent 2013’ FIFA Male Under-17 (U-17) World Cup Football tournament. The data pertaining to the players who participated in to that event were collected from the FIFA website. They included the players’ dates of birth (day, month and year) and position (goalkeeper, defender, midfielder or striker).The distributions of birth months were significantly different with more players born in the early months of the year compared with the later months. For the entire cohort of players, 38.7% were born in the first quarter of the year while only 10.5% were born in the last 3 months in the same year. This relative age effect held for all FIFA-designated teams except for the Nigeria and the Côte d'Ivoire having shown a reverse relative age effect. The results of this investigation show that at the highest level of youth soccer, the RAE still exists and is a strong bias toward inclusion of players born early in the concerned year.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".