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Record W2739627683

Optimizing PYD in sport programs: Examining associations between program characteristics and developmental experiences

2010· article· en· W2739627683 on OpenAlexaffabout
Jessica Fraser‐Thomas, Sarah M Jeffery-Tosoni, Theresa Beesley, Nicholas L. Holt

Bibliographic record

VenueJournal of Exercise, Movement, and Sport · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of AlbertaYork University
Fundersnot available
KeywordsPositive Youth DevelopmentRecreationPsychosocialPsychologyYouth sportsErikson's stages of psychosocial developmentDevelopmental psychologyApplied psychologyAthletesPolitical scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

Among growing societal concern for youth's healthy development, it has been proposed that sport programs can serve as contexts to foster healthy psychosocial development and life skills (Fraser-Thomas et al., 2005). Despite this, little research has focused on how different types of sporting programs may be facilitating positive experiences and outcomes among youth. The purpose of this study was to examine associations between program characteristics and youths' developmental experiences within these programs. Two hundred fourteen youth aged 10-18 involved in a diverse range of programs completed the Youth Experience Survey for Sport (YES-S; MacDonald et al., 2009). Results indicate sport type (i.e., team/individual), competition level (i.e., recreational/competitive), coach characteristics (i.e., age, gender) and contextual factors (i.e., number of coaches, group size) are associated with significantly different experiences in the areas of initiative, goal setting, cognitive skills, and negative experiences. Findings suggest further exploration is necessary to fully understand the processes and mechanisms that may be contributing to more positive or negative experiences in youth sport programs. Discussion will focus on how findings can begin to inform future guidelines and reform strategies in youth sport programs. Acknowledgments: SSHRC - SCRI (Sport Canada Research Initiative)

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 score0.071
Threshold uncertainty score0.651

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.033
GPT teacher head0.304
Teacher spread0.270 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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