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Record W1534824498

An Evaluation of Canada’s National Coaching Certification Program’s Make Ethical Decisions Coach Education Module

2012· article· en· W1534824498 on OpenAlexaboutno aff
Ashley Stirling, Gretchen Kerr, Lisanne C. Cruz

Bibliographic record

VenueInternational journal of coaching science · 2012
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingCertificationMedical educationPsychologyEthical issuesPhase (matter)Engineering ethicsPolitical scienceMedicineEngineering
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to evaluate Canada’s National Coaching Certification Program’s Make Ethical Decisions (MED) coach education module. Kirkpatrick and Kirkpatrick’s (2007) model for evaluating training programs was used to frame this study. The study was comprised of two separate phases. In phase one, after completion of the module, 30 coaches participated in a semi-structured interview. The results of this phase of the study indicated that the vast majority of coaches were satisfied with the module and reported that the module impacted their decision-making. Given the recommendations made by the coaches interviewed, namely that the MED module would benefit from the addition of more content information on ethical dilemmas in sport, a second phase of the study was added. In phase two, 3742 coaches completed an on-line questionnaire. The participants identified the types of ethical dilemmas most commonly encountered as well as their desire for further education on these issues in sport. Recommendations are proposed for improving the Make Ethical Decisions module and addressing ethical coaching in general.

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)0.010
metaresearch head score (Gemma)0.003
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 score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.092
GPT teacher head0.442
Teacher spread0.350 · 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
Published2012
Admission routes1
Has abstractyes

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