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Record W4323065040 · doi:10.1123/iscj.2022-0069

A Self-Reflective Toolkit of Adult-Oriented Coaching Practices in Masters Sport

2023· article· en· W4323065040 on OpenAlexafffundabout
Bettina Callary, Catalina Belalcazar, Scott Rathwell, Bradley W. Young

Bibliographic record

VenueInternational Sport Coaching Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of LethbridgeUniversity of OttawaCape Breton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCoachingIntrapersonal communicationPsychologyRelevance (law)Thematic analysisAthletesPsychosocialReflexivityApplied psychologySelf-reflectionIntrospectionPerceptionMedical educationQualitative researchInterpersonal communicationSocial psychologyMedicinePsychotherapistSociology

Abstract

fetched live from OpenAlex

The Adult-Oriented Sport Coaching Survey (AOSCS) assesses psychosocial coaching practices for coaches who work with adult athletes. The AOSCS can be used as a self-assessment tool for coaches’ professional development, but there is a need to better understand its relevance for coaches. The purpose of this study was to explore coaches’ perspectives of the AOSCS as a self-assessment tool for reflecting, intuitively appraising, and provoking elaborations on contextually embedded psychosocial practices when coaching adult athletes. Thirteen Canadian coaches (nine women/four men, aged 59–78 years) completed the AOSCS prior to watching a webinar regarding the research on coaching Masters athletes and the development of the AOSCS. Each was subsequently shared a copy of their AOSCS results and interviewed about their perceptions of the relevance and utility of the AOSCS. Interviews were analyzed using reflexive thematic analysis, which resulted in three higher order themes (relevance of the AOSCS, using the AOSCS, and input from others) with six subthemes. The coaches see the AOSCS as provoking meaningful coach reflection, introspection, and learning intrapersonal coaching knowledge that serve ongoing coach development. As such, this paper outlines evidence with respect to the prospective relevance and practical utility of the AOSCS.

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 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 score0.055
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.381
Teacher spread0.349 · 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 teacher head, 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
Published2023
Admission routes3
Has abstractyes

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