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Record W410341453 · doi:10.1520/stp15243s

Tracking the Relative Age Effect Across Minor Amateur and Professional Ice Hockey Leagues

2000· book-chapter· en· W410341453 on OpenAlexaff
WJ Montelpare, Dawn M. Scott, M Pelino

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsBrock UniversityUniversity of New BrunswickLakehead University
Fundersnot available
KeywordsAmateurLeagueIce hockeyMinor (academic)Tracking (education)AeronauticsPsychologyGeographyPhysical medicine and rehabilitationEngineeringArtMedicineHumanitiesPhysicsArchaeologyAstronomy

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the relative age effect across age divisions in various minor amateur and professional ice hockey leagues. The term relative age effect refers to the difference in biological and chronological age between children in the same age grouping that results from different birth dates within the same birth year. Differences in the rate of change in maturation across an age cohort are expected to accentuate any relative age effects. The present study tested the null hypothesis that the distribution of month of birth for ice hockey players in elite or representative leagues was similar to players in recreational leagues. The results are based on the month of births collected for minor amateur, university, junior, and professional leagues. The results showed that a relative age effect exists within the elite or representative levels of each league, but not within the recreational or “house” leagues.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.027
GPT teacher head0.309
Teacher spread0.282 · 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

Citations14
Published2000
Admission routes1
Has abstractyes

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