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Record W2787691474 · doi:10.1123/iscj.2017-0018

Coaches’ Perspectives on Personal and Psychosocial Development in University Sport

2018· article· en· W2787691474 on OpenAlexaffabout
Scott Rathwell, Bradley W. Young

Bibliographic record

VenueInternational Sport Coaching Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of OttawaUniversity of Lethbridge
Fundersnot available
KeywordsAthletesPsychosocialPsychologyPerspective (graphical)Context (archaeology)Personal developmentPositive Youth DevelopmentFocus groupApplied psychologyMedical educationSociologyDevelopmental psychologyMedicinePhysical therapy

Abstract

fetched live from OpenAlex

Evidence suggests Canadian university sport programs can foster positive development. Further, university coaches have claimed to focus on their athletes’ personal and psychosocial development. Despite coaches’ claims, little is known about university coaches’ strategies for enhancing positive development. The aim of the present study was to explore the role of the coach in fostering positive development in the university context from the perspective of coaches. Specifically, this study addressed two research questions: (a) Who was responsible for athletes’ development? and (b) What is the role of the coach in athletes’ development? Semi-structured open-ended interviews were conducted with 14 recommended Canadian university coaches (9 male and 5 female). Interviews were analyzed using an inductive approach. Coaches highlighted the conditions of university sport that foster positive development. In addition, the coaches described how they maximized athletes’ development by establishing a support network, building team culture, and empowering athletes.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0130.007
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
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 head0.022
GPT teacher head0.299
Teacher spread0.277 · 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

Citations15
Published2018
Admission routes2
Has abstractyes

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