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Record W3029640009 · doi:10.1123/iscj.2019-0059

Examining How Elite S&C Coaches Develop Coaching Practice Using Reflection Stimulated by Video Vignettes

2020· article· en· W3029640009 on OpenAlexaff
Christoph Szedlak, Matthew J. Smith, Bettina Callary, Melissa Day

Bibliographic record

VenueInternational Sport Coaching Journal · 2020
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsCape Breton University
Fundersnot available
KeywordsVignetteCoachingNarrativePsychologyEliteAthletesPerspective (graphical)Applied psychologySocial psychologyPsychotherapistPhysical therapyMedicineVisual artsLiteratureArt

Abstract

fetched live from OpenAlex

The purpose of this study was to identify narrative types that illuminate how strength and conditioning (S&C) coaches used video vignettes in a guided reflection process to support the development of effective coaching practices. At the beginning of each week, over a 4-week period, 11 elite S&C coaches were sent a short video vignette clip of an S&C coach’s practice. They subsequently engaged in daily reflections in which they were guided to explore how the topic of the vignette aligned (or not) with their coaching practice. After the intervention, each S&C coach was interviewed regarding their process of learning from the vignette and from their reflections. Using a holistic narrative analysis of form and structure, the results exemplified three narrative types: performance, achievement, and helper. The S&C coaches whose reflections fitted the performance narrative type focused on their own practice, with limited consideration of the athletes’ perspective or the vignette. The S&C coaches whose reflections fitted the achievement narrative type strove to accomplish goals with their athletes and were selective in considering the vignette. The S&C coaches whose reflections fit the helper narrative type found that the vignette helped them consider an athlete-centered coaching approach focusing on the athletes’ well-being, as well as athletic abilities. Thus, S&C coach developers should utilize a guided reflection process that focuses on encouraging a coaching approach based on the helper narrative type.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.121
GPT teacher head0.387
Teacher spread0.266 · 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.

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

Citations13
Published2020
Admission routes1
Has abstractyes

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