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Brief report: Engagement in sport and identity status

2010· article· en· W2027302654 on OpenAlexaff
Michael A. Busseri, Kelly A. Costain, Kelly Campbell, Linda Rose‐Krasnor, Jennifer Evans

Bibliographic record

VenueJournal of Adolescence · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychologyInterpersonal communicationIdentity (music)IdeologyStructural equation modelingSocial psychologyDevelopmental psychologyInterpersonal relationshipIdentity formationSelf-concept

Abstract

fetched live from OpenAlex

Drawing on identity development theory, the connection between engagement in sport and identity status was examined. First-year undergraduates (n = 116 sport-involved youth; 67% women; mean age = 18.58 yrs) completed measures of interpersonal and ideological identity status (achievement, moratorium, diffusion, foreclosure), along with behavioral (breadth, intensity) and psychological (e.g., enjoyment, competence) indicators of sport engagement. Using structural equation modeling, we examined the relation between latent sport engagement and identity status in interpersonal and ideological domains. As hypothesized, latent sport engagement predicted greater interpersonal (but not ideological) identity achievement. Consistent with identity development theory, an additional specific relation was observed between lower breadth of sport involvement and higher interpersonal identity achievement. Results demonstrate the value of examining behavioral and psychological indicators of sport engagement jointly, and support a growing body of research linking sport and positive youth 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.020
GPT teacher head0.329
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), 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

Citations21
Published2010
Admission routes1
Has abstractyes

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