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Record W3084193770 · doi:10.1123/iscj.2019-0084

Coaches’ Perceptions of Social Identity in Youth Sport: When Youth Athletes Think and Behave as “Us”

2020· article· en· W3084193770 on OpenAlexaff
Jordan D. Herbison, Terry W. Cowan, Luc J. Martin, Zachary T. Root, Mark W. Bruner

Bibliographic record

VenueInternational Sport Coaching Journal · 2020
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsBrock UniversityNipissing UniversityQueen's University
Fundersnot available
KeywordsAthletesPsychologyIdentity (music)Social identity theoryPerceptionSocial psychologyAffect (linguistics)CentralityIce hockeyMeaning (existential)Developmental psychologySocial groupCommunication

Abstract

fetched live from OpenAlex

This study sought to examine coaches’ perceptions of social identity among their athletes and explore the ways that they may attempt to influence its development. Semistructured interviews were conducted with 12 head coaches ( M age = 49.25 years; SD = 6.5 years; M experience = 15.75 years; SD = 7.66 years; n female = 1) of male ( n = 8) and female ( n = 4) competitive youth ice hockey teams. Three main themes were identified through our analysis. First, the coaches’ perceptions of athletes’ social identities were described through examples of peer connection and similarity (i.e., in-group ties), athletes’ experience of positive affect (i.e., in-group affect), and athletes demonstrating the meaning and value that they attribute to team membership (i.e., cognitive centrality). Second, the coaches discussed a variety of ways that they sought to develop and reinforce a shared social identity within their teams. These behaviors aligned with principles advanced within the social identity leadership literature—namely, the coaches acted as in-group prototypes, in-group champions, entrepreneurs of identity, and embedders of identity. Finally, the coaches identified parents and cliques as key social agents with the ability to undermine social identity development. The findings are discussed in relation to both their theoretical and practical implications.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.057
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.341
Teacher spread0.302 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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