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Record W4413770240 · doi:10.36950/2025.10ciss008

Understanding Sport Participation and Athlete Development: The Exposure to Sport Scale

2025· article· en· W4413770240 on OpenAlex
Alexandra Mosher, Antonia Cattle, Jessica Fraser‐Thomas, Joseph Baker

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Issues in Sport Science (CISS) · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsUniversity of TorontoYork University
Fundersnot available
KeywordsScale (ratio)PsychologyApplied psychologyGeographyCartography

Abstract

fetched live from OpenAlex

The purpose of this two-part paper was to conceptualize and validate a new method for measuring youth sport exposure. In part one, different disciplines were used to guide the creation of the Exposure to Sport Scale. Using references from epidemiology and the previously validated Developmental History of Athletes Questionnaire, an original version of the scale was proposed.Sections include measures of practice, play and competition throughout an athlete’s sport development journey. In part two the content and face validity of the Exposure to Sport Scale was investigated. Using a modified Delphi approach, 16 experts in the field completed three rounds of feedback. By the final round all items had achieved consensus for clarity and relevance. The proposed Exposure to Sport Scale has significant implications for those working in early athlete settings.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.286
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.235
GPT teacher head0.520
Teacher spread0.284 · 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