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Record W3129713328 · doi:10.1016/j.ypmed.2021.106470

Active school transportation and the built environment across Canadian cities: Findings from the child active transportation safety and the environment (CHASE) study

2021· article· en· W3129713328 on OpenAlexafffundabout
Linda Rothman, Brent Hagel, Andrew Howard, Marie Soleil Cloutier, Alison Macpherson, Alberto Nettel‐Aguirre, Gavin R. McCormack, Pamela Fuselli, Ron Buliung, Tate HubkaRao, Rebecca Ling, Moreno Zanotto, Mathieu Rancourt, Meghan Winters

Bibliographic record

VenuePreventive Medicine · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsSimon Fraser UniversityParachuteInstitut National de la Recherche ScientifiqueAlberta Children's HospitalUniversity of TorontoToronto Metropolitan UniversitySickKids FoundationUniversity of CalgaryInstitute for Clinical Evaluative SciencesYork UniversityHospital for Sick Children
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsBuilt environmentPsychological interventionContext (archaeology)Level designMedicineEnvironmental healthTransport engineeringGeographyDemographyGerontologyEngineeringCivil engineering

Abstract

fetched live from OpenAlex

Walking and bicycling to school (active school transportation, AST) has been in decline for decades in North America and globally with the rise of automobility. This cross-sectional study estimated associations between the built environment and AST in seven Canadian communities. We observed the travel behaviours of almost 118,000 students at 552 schools. Using beta regression, we modeled the proportion of children using AST, considering built environment and social environment factors around schools. Across all schools, the average proportion of children using AST was 54.3% (SD 18.9%), with variability among cities from a low of 39.5% (SD 22.1%) in Laval, Quebec to 69.7% (SD 18.1%) in Montreal, Quebec. Overall, several modifiable road design features were associated with AST, including the presence of school crossing guards, cycling infrastructure, Walk Score® and traffic signal density. There was variability in the directionality and statistical significance of associations with design variables across cities, suggesting that the local context and directed local interventions are important to support AST. Natural experiment studies are necessary to examine local approaches related to the built environment to increase AST and ensure appropriate new policy and program interventions are developed.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
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 head0.012
GPT teacher head0.267
Teacher spread0.256 · 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

Citations67
Published2021
Admission routes3
Has abstractyes

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