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Record W378378586 · doi:10.82308/42432

The acquisition of coaching knowledge of a unique sample of expert team sport coaches /

2006· book· en· W378378586 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2006
Typebook
Languageen
FieldPsychology
TopicCoaching Methods and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingSample (material)PsychologyTeam sportApplied psychologyAthletesKnowledge managementComputer sciencePhysical therapyMedicineChemistryPsychotherapist

Abstract

fetched live from OpenAlex

The purpose of this study was to identify how coaches who have surpassed their athletic achievements acquired their coaching knowledge. Six University coaches from basketball, volleyball, and hockey, with a combined total of fourteen coach of the year awards were selected to participate. Each coach was coaching at a higher level (e.g., University level) than he had competed as an athlete, had a winning percentage greater than .500 at the University level, and had been the head coach at their current program for a minimum of five years. Semi structured, open-ended interviews were conducted using an interview guide created exclusively for this study and based on the tenets of Cote, Salmela, Trudel, Baria, and Russell's (1995) Coaching Model and Chelladurai's (1978) Multidimensional Model of Leadership. Data analysis followed the guidelines forwarded by Cote, Salmela, Baria, and Russell (1993). Results of this analysis revealed three higher order categories which indicated the path coaches had taken to reach their current positions including the many ways knowledge was acquired. These were (a) career path which discussed the journey of knowledge acquisition of these coaches, from their earliest sport participation to their current coaching position, (b) personal factors, which included how the coaches' journey of knowledge acquisition had been influenced by who the coaches were, and (c) coaching knowledge, which involved the participants' current level of coaching knowledge. Despite the idiosyncratic nature of each coach's career progression many common themes emerged, including the different ways knowledge was acquired, the coaches' personal characteristics, and the level of coaching knowledge accumulated. Many of the findings that emerged were similar to those highlighted in previous studies pertaining to expert coach development (e.g., Cregan, Bloom, & Reid, in press; Salmela, 1994; Schinke, Bloom, & Salmela, 1995) which suggests that while athletic experiences may be helpful in expert coach development, they are not essential. The results provided evidence that sources of knowledge acquisition are accessible to aspiring coaches to acquire the necessary coaching knowledge, regardless of their athletic background. The current findings could potentially enhance the quality and standard of formal coach education and training programs in Canada by illustrating how a unique sample of coaches acquired the knowledge to achieve success at the university level.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.035
GPT teacher head0.315
Teacher spread0.280 · 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