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Record W4403098526 · doi:10.1080/23750472.2024.2400189

Exploratory mixed methods investigation of time commitment in youth sport and physical activity: families’ experiences and satisfaction during the pandemic, and intentions for post-pandemic engagement

2024· article· en· W4403098526 on OpenAlexaff
Georgia Teare, Marijke Taks

Bibliographic record

VenueManaging Sport and Leisure · 2024
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of OttawaWestern University
Fundersnot available
KeywordsPandemicPsychologyCoronavirus disease 2019 (COVID-19)Exploratory researchPhysical activityApplied psychologySociologyMedicineSocial science

Abstract

fetched live from OpenAlex

Purpose/rationale: The COVID-19 pandemic drastically changed families’ time commitments for youth sport and physical activity (SPA). Guided by Social Ecology Theory, experiences and associated levels of satisfaction with these changes are explored, as well as intentions for post-pandemic engagement.Design/methodology/approach: Interviews with families (n = 14) informed the creation of a questionnaire that was distributed to 550 Ontarian families.Findings: Parents were satisfied with lower time commitment of youth SPA during the pandemic and would have liked to engage in less travel for youth SPA and fewer organized activities post-pandemic. However, families largely intended on increasing or reverting to their travel time for and diversity of activities post-pandemic, compared to pre-pandemic, suggesting that parents intend to support their children’s SPA preferences, regardless of their own.Practical implications: Given that parents intend to support their children’s SPA commitment preferences, tactics to ease the time demands on parents can be developed to provide greater value propositions for families.Research contribution: Two main consumer groups of youth SPA (i.e. parents and youth) can have differing preferences for their experiences.Originality/value: This study revealed conflicting experiences and preferences of two distinct consumer groups for youth SPA.

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 score0.035
Threshold uncertainty score0.440

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)0.0000.000

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 head0.045
GPT teacher head0.334
Teacher spread0.289 · 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
Published2024
Admission routes1
Has abstractyes

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