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Record W2883381870

The Relative Age Effect

2014· article· fr· W2883381870 on OpenAlexaboutno aff
Bastien Drut, Richard Duhautois

Bibliographic record

VenueRevue économique · 2014
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsFootballQuarter (Canadian coin)DemographyFootball playersCohortPsychologyGeographySociologyMathematicsStatistics
DOInot available

Abstract

fetched live from OpenAlex

The relative age effect (rae) refers to the performance-related advantage of being born early in a cohort. In education economics, the rae shows that children born early in the year obtain better results than their peers. This is also true in sports education in which children are grouped by age during their training period. The main explanation of rae is the cutoff dates in youth sport. Because the cut-off date never changes, it is particularly difficult in education economics to identify the causal effect of the cut-off date on rae. On the other hand, sports and in particular soccer provides cases where the cut-off date in youth school changed : The French Football Association changed the cut-off date from during the 1995-1996 season. We show (1) the rae is caused by a change in the cut-off date ; (2) the rae still exists for older players (3) football players born in the fourth quarter have a physical superiority measured by the body mass index (bmi). Codes JEL : L83 ; C90

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0690.007

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.

Opus teacher head0.023
GPT teacher head0.199
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2014
Admission routes1
Has abstractyes

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