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Record W2965820616

Professional development for Canadian rugby coaches

2019· article· en· W2965820616 on OpenAlexaboutno aff
Beth Barz

Bibliographic record

VenueVIUSpace (Vancouver Island University Library) · 2019
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsFootballAthletesAeronauticsPublic relationsPolitical scienceEngineeringLawPhysical therapyMedicine
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this action research inquiry was to examine the current knowledge and application of professional development (PD) points and the maintenance of certification (MOC) process by National Coaching Certification Program trained Canadian rugby coaches. The research question was, “How can Rugby Canada foster broader acceptance and utilization of professional development for its certified coaches?” The methods, applied under the Royal Roads University (2011) Research Ethics Policy, included a survey sent to all Canadian rugby coaches, and respondents (N = 245) who indicated interest (N = 112) were invited to a thematic email interview, with a 47% response rate (N = 53). Study findings revealed coaches lacked awareness of the MOC process yet also significantly valued context, delivery, learning variety, and purpose of PD. Findings also supported potential coach behaviour change, further informing the recommendations to galvanize the change process for PD and the MOC for Canadian rugby coaches. \nKeywords: rugby, coaching, coach learning, national coaching certification program, maintenance of certification, coach professional development

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.003
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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