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Record W1965255407 · doi:10.1080/2159676x.2012.686060

Coaches of athletes with a physical disability: a look at their learning experiences

2012· article· en· W1965255407 on OpenAlex
Sarah McMaster, Diane M. Culver, Penny Werthner

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2012
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Ottawa
FundersMcMaster UniversityUniversity of Ottawa
KeywordsThematic analysisPsychologyAthletesFormal learningInformal learningApplied psychologyQualitative researchMedical educationPedagogyMedicineSociologyPhysical therapy

Abstract

fetched live from OpenAlex

Although coaching has become a popular area for research, little is known about coaches of athletes with a disability (Cregan et al., 2007; DePauw & Gavron, 1991, 2005). The purpose of this study was to explore how disability sport coaches learnt to coach and, more specifically, how they learnt through interactions. Recent disability sport research has revealed that coaches work with their athletes to enhance their learning (Cregan et al., 2007; O’Neill & Richardson, 2008); as such, athletes also participated in this study. Data collection included 20 semi-structured interviews and 14 non-participant observation sessions with five coach-athlete dyads. A thematic analysis was conducted (Braun & Clarke, 2006), which revealed that coaches from various backgrounds commonly learnt through informal learning situations, most frequently through interactions with others. It is suggested that organizations nurture these informal situations and offer more disability-specific nonformal and formal situations to enhance coaches’ learning opportunities.

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)0.007
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.285
GPT teacher head0.559
Teacher spread0.274 · 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