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Record W2138863197 · doi:10.1111/sms.12460

Organizational socialization in team sport environments

2015· article· en· W2138863197 on OpenAlexaffabout
Alex J. Benson, M. Blair Evans, Mark Eys

Bibliographic record

VenueScandinavian Journal of Medicine and Science in Sports · 2015
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsQueen's UniversityWilfrid Laurier University
Fundersnot available
KeywordsSocializationConformityExtant taxonPsychologyAthletesProcess (computing)Social psychologyTeam sportPublic relationsApplied psychologyPolitical science

Abstract

fetched live from OpenAlex

Socialization tactics are often used to manage initial group member interactions in a way that facilitates transition experiences. Although this process is heavily researched in organizational contexts, we sought to extend this line of inquiry to sport by examining the nature of socialization tactics used to integrate new members into existing teams. Interviews were conducted with 12 coaches and 12 athletes from several Canadian Interuniversity Sport teams to explore the nature of socialization and the circumstances underscoring why certain approaches are taken over others. A key process involved establishing congruency of role expectations between incoming athletes and group leaders, and socialization processes balanced expectations of conformity with encouragement of individual personalities within the group. A conceptual basis to examine socialization into team sport environments is discussed in relation to the extant organizational theories, and the practical implications of delineating sport socialization tactics are forwarded.

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)0.003
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 score0.014
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.339
Teacher spread0.307 · 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

Citations46
Published2015
Admission routes2
Has abstractyes

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