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Record W7001502965

From Knowledge to Action: Quality Participation and Coaching Effectiveness in Disability Sport

2018· dissertation· en· W7001502965 on OpenAlexfundno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2018
Typedissertation
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaMcMaster University
KeywordsAthletesQuality (philosophy)PerceptionQuality of life (healthcare)Action (physics)
DOInot available

Abstract

fetched live from OpenAlex

Limited research attends to the quality of participation in sport for persons with disabilities (i.e., disability sport), or the role of coaches in shaping the quality of athletes’ disability sport experiences. To address these knowledge gaps, this dissertation examined quality participation and coaching effectiveness in disability sport. Guided by the Knowledge to Action framework, the knowledge created in Manuscripts 1-3 contributed to the development of a learning tool for disability sport coaches in Manuscript 4. Manuscript 1 (Chapter 3) explored the meanings that athletes with physical disabilities attribute to their participation in disability sport over time. Two-part life history interviews were conducted with 21 athletes with a physical disability and narratively analyzed. Five distinct narrative types were identified, representing differential developmental trajectories and meanings of participation in disability sport. Manuscript 2 (Chapter 4) examined athletes’ perceptions of effective disability sport coaching throughout development. A subset of the data collected for Manuscript 1 focused on athletes’ experiences with disability sport coaches. These data were separated and thematically analyzed. Two overarching themes reflected patterns in coaches’ knowledge, beliefs, and behaviours related to (a) positive and negative experiences in disability sport, and (b) the context. Manuscript 3 (Chapter 5) investigated how effective (i.e., model) disability sport coaches shape successful programs for athletes with disabilities. A collective case study of six disability sport programs was performed, including document review, mobile interviews, and semi-structured interviews with coaches and athletes. Cases were independently analyzed and compared. The beliefs and vision of each coach corresponded to the implementation of core values that translated into quality experiences for athletes across four layered themes. Manuscript 4 (Chapter 6) produced an evidence-informed learning tool for disability sport coaches. The findings of Manuscripts 1-3 were synthesized alongside other relevant sources of knowledge to identify target behaviours and behavioural determinants. Following stakeholder review, an ethnographic creative nonfiction was crafted to demonstrate and provide information about coach behaviours that facilitate quality experiences for athletes with a disability. Overall, this dissertation contributes toward deepening our understanding of athlete development, quality participation, and coaching effectiveness in disability sport. These findings may be used by researchers and practitioners to create, deliver, and promote quality programs for athletes with a disability.

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)0.011
metaresearch head score (Gemma)0.020
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 score0.012
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.010
Scholarly communication0.0120.007
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.338
Teacher spread0.312 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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