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Record W4404190822 · doi:10.1123/iscj.2024-0038

Coach Mentorship Using the Adult-Oriented Sport Coaching Survey

2024· article· en· W4404190822 on OpenAlexaff
Catalina Belalcazar, Derrik Motz, Bradley W. Young, Scott Rathwell, Bettina Callary

Bibliographic record

VenueInternational Sport Coaching Journal · 2024
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of LethbridgeCape Breton UniversityUniversity of Ottawa
Fundersnot available
KeywordsCoachingMentorshipPsychologyMedical educationMedicine

Abstract

fetched live from OpenAlex

The Adult-Oriented Sport Coaching Survey (AOSCS) is an evidence-based assessment tool for coaches that stimulates self-reflection and learning of adult-oriented coaching practices. The AOSCS, comprised of 22 items that form five coaching themes, was used in this mixed-methods case study by a coach of adult skiers, who sought facilitation and mentorship from a coach developer to apply the AOSCS to strategically improve his coaching across a season. A pragmatic paradigm was adopted for this mixed-methods qualitatively dominant, sequential study. The coach and his skiers ( n = 10) completed the AOSCS at three points in time (pre-, mid-, and postseason). At each point, the coach journaled prior to debriefing with the coach developer for 20–50 min. Through reflexive thematic and correlation analyses, eight adult-oriented coaching practices were identified as strong points of integration. The findings indicated that working with the coach developer enabled the coach’s reflection of the AOSCS scores to refine, strategize, and align coaching with his adult skiers’ perceptions for adult-oriented coaching. This study outlined the facilitation of reflection on AOSCS scores can be used advantageously across a season to promote more deliberate coach learning and practice.

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)0.004
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.046
GPT teacher head0.352
Teacher spread0.307 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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