MétaCan
Menu
Back to cohort
Record W2075988344 · doi:10.1260/174795409789623900

A Sport Leader's Attempt to Foster a Coaches' Community of Practice

2009· article· en· W2075988344 on OpenAlexaff
Diane M. Culver, Pierre Trudel, Penny Werthner

Bibliographic record

VenueInternational Journal of Sports Science & Coaching · 2009
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLeaguePeriod (music)Context (archaeology)AthletesPsychologyPublic relationsManagementPolitical scienceMedicineHistory

Abstract

fetched live from OpenAlex

This case study examines a sport leader's attempt to foster a coaches' community of practice in a competitive youth baseball league. It is analysed using Wenger's [8] community of practice framework. Interviews were conducted with seven participants including the sport leader (technical director), the league manager, and five coaches. The retrospective account of time period 1 (covering four years) portrays how a visionary leader instigated changes in the sport culture to have coaches share knowledge with the common goal of developing all of the league athletes. For example, the coaches were selected for their specific expertise and were given the responsibility for the corresponding players not only on their own team but on all teams in the league. Establishing a co-operative environment in a competitive context required strong leadership and presented challenges including the alignment of all the coaches, parents, and referees. The time period 2 (covering three years), also studied retrospectively, demonstrates that the loss of the visionary leader led to the return to a more traditional, competitive environment. Finally, the time period 3 (covering one year), which was the timeframe when the research project was conducted, shows a willingness to return to the collaborative ways of time period 1, but also the challenges in making this happen without the presence of a strong, visionary leader.

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)0.005
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 score0.270
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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 head0.047
GPT teacher head0.404
Teacher spread0.357 · 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

Citations78
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Sports Science & CoachingSame topicSport Psychology and PerformanceFrench-language works237,207