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Record W1970443943 · doi:10.1080/14927713.2008.9651400

The fun factor: Adolescents’ self‐regulated leisure activity and the implications for practitioners and researchers

2008· article· en· W1970443943 on OpenAlexaffvenueabout
Nancy Francis, Jeanne Adèle Kentel

Bibliographic record

VenueLeisure/Loisir · 2008
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychologyDilemmaLeisure timePositive Youth DevelopmentMedia consumptionPhysical activityDevelopmental psychologyConsumption (sociology)PerceptionSociology of leisureFavouriteLeisure activitySocial psychologyOrder (exchange)SociologyAdvertisingMedicineSocial sciencePolitical science

Abstract

fetched live from OpenAlex

Abstract There is mounting interest in Canadian society regarding the leisure activities of children and youth and the ensuing positive or negative effects. Complex influential factors on adolescent self‐regulated time coupled with increasing levels of sedentary activity have provoked a societal dilemma. Consequently, it is essential to determine the motivating factors in adolescents’ leisure choices in order to fully address the societal dilemmas involving youth inactivity. Understanding perceptions of “fun” by children and youth in relation to their leisure time formed the basis for this inquiry. Theoretically grounded in self‐determination theory, this study focused on fun‐provoking favourite activities among Grade 6 through Grade 8 students (n=220) at 13 schools across Ontario through surveys and interviews, as part of a larger study on children's media consumption. Also, the adolescents’ media consumption and physical activity patterns were examined in order to assess their leisure habits and gain insights into positive and effective programming for youth. The discussion includes dominant themes of “fun” in the adolescents’ lives. Implications for the development of a critical pedagogy are offered for researchers and practitioners in leisure education and physical education.

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 score0.081
Threshold uncertainty score0.912

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 studies0.0010.001
Scholarly communication0.0000.000
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 head0.070
GPT teacher head0.347
Teacher spread0.277 · 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

Citations12
Published2008
Admission routes3
Has abstractyes

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