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Record W4304758377 · doi:10.1123/apaq.2022-0003

Wheelchair Basketball Athletes’ Perceptions of the Coach–Athlete Relationship

2022· article· en· W4304758377 on OpenAlexaff
Lara Pomerleau-Fontaine, Gordon A. Bloom, Danielle Alexander

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2022
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsMcGill UniversityUniversité de Sherbrooke
Fundersnot available
KeywordsAthletesBasketballPsychologyCoachingApplied psychologyDyadPerceptionWheelchairThematic analysisPhysical therapySocial psychologyQualitative researchMedicine

Abstract

fetched live from OpenAlex

The majority of research on the coach-athlete relationship has been explored from the perspective of able-bodied athletes. The purpose of this study was to explore wheelchair basketball athletes' perceptions of the coach-athlete relationship. Timelining and semistructured interviews were conducted with six wheelchair basketball athletes, and data were analyzed using a reflexive thematic analysis. Athletes highlighted the important role that parasport coaches played in fostering an enjoyable wheelchair basketball environment and valued coaches who displayed expertise regarding their athletes' equipment and had personal parasport athletic experiences. Additionally, athletes identified personal preferences, including coaches who addressed sex differences and maintained professional relationships at the national level as contributing factors to the coach-athlete relationship. The current results benefit both parasport coaches and athletes by providing a portrayal of coaching behaviors, characteristics, and expertise that not only influence the parasport coach-athlete dyad but also affect the well-being and athletic development of parasport 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 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.041
GPT teacher head0.329
Teacher spread0.288 · 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

Citations12
Published2022
Admission routes1
Has abstractyes

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