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Record W4392693902 · doi:10.1123/jsep.2023-0276

Does Participating in a Variety of Activities at a Variety of Locations or With Different People Predict Physical Activity Behavior Among Adolescents? The Mediating Role of Perceived Variety

2024· article· en· W4392693902 on OpenAlexafffund
Ross M. Murray, Benjamin D. Sylvester, Catherine M. Sabiston, Isabelle Doré, Mathieu Bélanger

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversité de SherbrookeUniversité de MontréalCentre Hospitalier de l’Université de MontréalUniversity of Toronto
FundersFondation de la recherche en santé du Nouveau-Brunswick
KeywordsVariety (cybernetics)Physical activityPsychologyMediationPerceptionDevelopmental psychologySocial psychologyMedicinePhysical therapy

Abstract

fetched live from OpenAlex

We examine whether adolescents' participating in a variety of physical activities, locations, and/or with a variety of people relates to physical activity 16 months later and whether perceptions of variety mediate these relationships. Adolescents (N = 369) completed measures indicating various physical activities they participated in, where they primarily participated, and with whom they primarily participated, at three time points over a year (averaged for baseline measures). Perceptions of variety was measured 8 months later. Physical activity was measured 16 months after baseline. Mediation analyses tested perceptions of variety as a mediator of variety support and physical activity. Results indicated that variety of activities and variety of locations were indirectly associated with physical activity through perceptions of variety. Participating in a breadth of physical activities in a variety of locations during adolescence is positively associated with perceptions of variety, which relates to physical activity 16 months later.

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)0.003
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.314
Teacher spread0.299 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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