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Record W2112052903 · doi:10.5539/jedp.v2n2p32

Participation in Organized Leisure Activities as a Context for the Development of Social Competence among Preschool Children

2012· article· en· W2112052903 on OpenAlexafffundvenue
François Poulin, Frédéric McGovern-Murphy, Alessandra Chan, France Capuano

Bibliographic record

VenueJournal of Educational and Developmental Psychology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsInstitut du Savoir MontfortUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsPsychologyDevelopmental psychologySocial competenceCompetence (human resources)Social changeSocial psychology

Abstract

fetched live from OpenAlex

This study examined (a) the relation between children’s participation in organized leisure activities (OLA)during kindergarten and social competence in Grade 1 and (b) whether this relation would vary according tofamilies’ income level. Participants were 556 preschool children (59% boys; M age = 5.65 years). Measures wereobtained from parents and teachers who completed a series of questionnaires about the child. Social competencewas assessed using measures of social skills and externalized behaviour. Results suggested that children whoparticipated in OLA in kindergarten showed significantly enhanced social skills in Grade 1 than those who didnot participate, and this link was true regardless of income level. In addition, results revealed that OLAparticipation in kindergarten significantly predicted a decrease in externalized behaviour in Grade 1 only amonglow-income children. The theoretical and practical implications of the results are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.630

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 integrity0.0000.000
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 head0.040
GPT teacher head0.385
Teacher spread0.345 · 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

Citations3
Published2012
Admission routes3
Has abstractyes

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