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Record W2008264301 · doi:10.1080/2159676x.2012.685104

The role of coaches of wheelchair rugby in the development of athletes with a spinal cord injury

2012· article· en· W2008264301 on OpenAlexaff
Holly L. Tawse, Gordon A. Bloom, Catherine M. Sabiston, Greg Reid

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2012
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsWheelchairCoachingAthletesSpinal cord injuryPhysical therapyPsychologyElitePhysical medicine and rehabilitationApplied psychologyMedicineSpinal cordPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Wheelchair rugby allows individuals living with quadriplegia to compete in an elite-level sport. It is currently one of the fastest-growing disability sports in the world and is the only full contact sport played by athletes with a disability. The purpose of this study was to explore the personal experiences of wheelchair rugby coaches in the development of their athletes who had entered their sport after acquiring a spinal cord injury. Four elite wheelchair rugby coaches were interviewed using a semi-structured guide. Data collection and analyses followed an interpretative phenomenological approach. Participants discussed the myriad of roles they carried out as wheelchair rugby coaches and the diverse range of their coaching responsibilities. They also alluded to their philosophies in both the personal and athletic development of their athletes and the unique strategies they utilised with them. The results highlight the important role of a coach in facilitating athlete development in disability sport.

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)0.004
metaresearch head score (Gemma)0.010
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 score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.009
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0020.002
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 head0.280
GPT teacher head0.567
Teacher spread0.287 · 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

Citations92
Published2012
Admission routes1
Has abstractyes

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