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Record W4319346768 · doi:10.1123/apaq.2022-0080

Outdoor Physical Activity and Play Among Canadian Children and Youth With Disabilities During the COVID-19 Pandemic: Findings From the National Physical Activity Measurement Study

2023· article· en· W4319346768 on OpenAlexaffabout
Kelly P. Arbour‐Nicitopoulos, Raktim Mitra, Ritu Sharma, Sarah A. Moore

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsDalhousie UniversityToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)PandemicPhysical activityPsychology2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Developmental psychologyGerontologyMedicineVirologyPhysical therapy

Abstract

fetched live from OpenAlex

This study explored the association between socioecological factors and outdoor physical activity (PA) and play in children with disabilities during the COVID-19 pandemic. Parents (N = 133) completed a survey to report changes in their child's outdoor PA and play during the pandemic (from prepandemic levels), and child, household, and neighborhood environment factors. Children with a PA-supporting parent and from multichild and White households had lower odds of reporting decreased outdoor PA. Children from multichild, higher income, married couple households and a PA-supporting parent had lower odds of decreased outdoor play. Living in neighborhoods with higher urbanization (i.e., high dwelling density, street intersections, and land-use mix) was associated with greater odds of decreased outdoor PA and play. Future research that uses larger and more representative samples of children with disabilities is needed to test for the multivariate effects of socioecological variables on outdoor PA and play.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
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 head0.065
GPT teacher head0.306
Teacher spread0.241 · 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.

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

Citations7
Published2023
Admission routes2
Has abstractyes

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