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Record W3139064294

Positive youth development in the context of organized sport and deliberate play

2010· article· en· W3139064294 on OpenAlexaff
Jean Cà ́té, Mark W. Bruner

Bibliographic record

VenueJournal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsNipissing UniversityQueen's University
Fundersnot available
KeywordsPsychologyCompassionCompetence (human resources)Positive Youth DevelopmentSocial psychologyViewpointsCharacter developmentDevelopmental psychologyCharacter (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The positive youth literature provides a number of different frameworks that can be used to conceptualize the development of athletes. In particular, the 5Cs – Competence, Confidence, Connection, Character, and Caring/Compassion (Lerner, Fisher, & Weinberg, 2000) can be hypothesized as desirable outcomes that should emerge from regular participation in sport. CA´tA© and colleagues (CA´tA©, Bruner, Erickson, Strachan, & Fraser-Thomas, 2010) recently reviewed the sport literature and proposed collapsing the 5Cs into 4Cs (Competence, Confidence, Connection, Character/Caring). This step was taken given the frequent integration of caring/compassion within the character literature in sport (e.g., Shields & Bredemeier, 1995) and the overlap between these three constructs (i.e., character, caring, and compassion). The 4Cs represent a promising framework to conceptualize and examine youth in organized and non-organized (i.e., deliberate play; CA´tA©, 1999; CA´tA©, Baker, & Abernethy, 2007) sport settings. This presentation will focus on the benefits of using the 4Cs to evaluate the impact of sport participation on youth development. Specifically, the two different contexts of youth sport participation that differ in the degree of youth and adult influence, organized sport and deliberate play, will be contrasted as potentially providing distinct developmental experiences.

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 score0.134
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.014
GPT teacher head0.246
Teacher spread0.233 · 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 routes1
Has abstractyes

Explore more

Same venueJournal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)Same topicYouth Development and Social SupportFrench-language works237,207