Youth Training Programs and Their Impact on Career and Spell Duration of Professional Soccer Players
Bibliographic record
Abstract
Abstract A unique data set of post‐war E nglish trained soccer players is used to study the impact of the youth training program they attended on their career and spell duration. Duration models in the spirit of A bbring and van den B erg are employed to estimate local treatment effects of different training programs on players — survival in the top E uropean leagues. The results indicate that the duration patterns of players are dependent on the youth academy they attended. Certain clubs, with a well‐established reputation in developing youth talent, outperform others in terms of producing and evaluating the ability of their youth players to succeed in top European leagues. The spell analysis outlines the nature of the competitive environment in which smaller clubs have a chance to keep up with the larger ones in terms of producing and holding on to homegrown talent. Finally, the results of both analyses addressed unobserved heterogeneity, allowed for nonlinearity of covariates using the cubic spline methodology, and were tested for endogeneity bias using a split sample test.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".