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Record W2160853005 · doi:10.1123/tsp.27.2.188

A Case Study of a High School Sport Program Designed to Teach Athletes Life Skills and Values

2013· article· en· W2160853005 on OpenAlexaff
Martin Camiré, Pierre Trudel, Dany Bernard

Bibliographic record

VenueThe Sport Psychologist · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychologyLife skillsAthletesIce hockeyPerspective (graphical)Positive Youth DevelopmentApplied psychologyMedical educationPedagogyDevelopmental psychologyComputer sciencePhysical therapy

Abstract

fetched live from OpenAlex

A case study of a high school ice hockey program designed to teach players life skills and values was conducted to understand, from the perspective of administrators, coaches, parents, and players, the strengths and challenges of the program. Results indicated that the program’s strengths lied in its comprehensive approach to teaching life skills and values in addition to coaches’ ability to foster relationship with players. However, program members also faced many challenges related to traveling, a lack of resources, and conflicting goals. Results are discussed using the Petitpas et al. (2005) framework and the youth development through sport literature.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0170.004
Scholarly communication0.0030.002
Open science0.0040.003
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.350
Teacher spread0.318 · 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 designQualitative
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

Citations77
Published2013
Admission routes1
Has abstractyes

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