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Record W2777871373 · doi:10.1123/tsp.2017-0129

The Development of Leadership in Model Youth Football Coaches

2018· article· en· W2777871373 on OpenAlexaff
Kurtis Pankow, Amber D. Mosewich, Nicholas L. Holt

Bibliographic record

VenueThe Sport Psychologist · 2018
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLeadership stylePsychologyFootballTransformational leadershipTransactional leadershipSituational leadership theoryLeadership developmentApplied psychologyPerceptionShared leadershipLeadershipQualitative researchSocial psychologyPublic relationsSociologyPolitical science

Abstract

fetched live from OpenAlex

The purpose of this study was to examine perceptions of leadership styles in model youth football coaches. Six award-winning youth football coaches participated, and each was interviewed twice. Within a qualitative descriptive framework, deductive analysis was completed to identify the coaches’ leadership styles, using the charismatic, ideological, and pragmatic model of outstanding leadership. Whereas pragmatic leadership behaviors were most frequently identified, all coaches appeared to have mixed leadership styles. Inductive analysis was then used to examine factors that influenced the coaches’ leadership development. Identified themes were role models, networks of coaches, experience and reflection, and formal, nonformal, and informal learning. These were consistent across all the coaches, regardless of leadership style. This study therefore provides new insights into the perceived use of pragmatic behaviors in mixed leadership styles in model youth sport coaches and indicates that similar factors contributed to their leadership development.

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)0.000
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 score0.230
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
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 head0.322
GPT teacher head0.373
Teacher spread0.051 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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