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Record W2128530478 · doi:10.1260/174795408787186468

Gaining Insight into Actual and Preferred Sources of Coaching Knowledge

2008· article· en· W2128530478 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Sports Science & Coaching · 2008
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsQueen's University
Fundersnot available
KeywordsCoachingPsychologyExperiential learningContext (archaeology)Formal learningFormal educationVariety (cybernetics)Applied psychologyPedagogyMedical educationComputer science

Abstract

fetched live from OpenAlex

Previous research has suggested that current formal coach education programs do not fully meet the learning needs of coaches. The purpose of the present study was to examine actual and preferred sources of coaching knowledge for developmental-level coaches. Structured quantitative interviews were conducted with coaches (N = 44) from a variety of sports. Learning by doing, interaction with coaching peers, and formal coach education were the top actual sources of coaching knowledge. Discrepancies were found between actual and preferred usage of learning by doing, formal coach education, and mentoring. Coaches indicated they would prefer more guided learning and less self-directed learning by doing. Further, differences in preferred sources were identified between coaches wishing to move to an elite level versus coaches wishing to stay at a developmental level. Findings highlight the importance of both experiential and formally guided sources of coaching knowledge and the context-specific nature of coach learning.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.355
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