Direct observations of active school transportation and stroller use in kindergarten children
Bibliographic record
Abstract
Little is known about kindergarten students' active school transportation (AST) and stroller/wagon use as sedentary travel devices. The primary objective of this cross-sectional study was to determine the prevalence of kindergarten children arriving to school by active and sedentary modes, including strollers, in Toronto elementary schools and compare to students in kindergarten to grade 6 (K–6). The secondary objective was to examine factors associated with AST in kindergarten and K–6 students. School travel mode was counted using direct observations at elementary schools in the City of Toronto in 2015. Two samples were observed: 1) Kindergarten sample: a random sample of schools with separate kindergarten entrances (n = 26 schools, 1069 children); 2) Kindergarten to grade 6 sample: observations were conducted at arrival locations at 50% of eligible elementary schools for students of all ages (n = 88 schools, 17,224 children). Proportions arriving by different travel modes were compared using Chi-square analysis. Negative binomial regression was conducted to examine the association between school characteristics and AST. AST was lower in the kindergarten compared to the K–6 sample (60% versus 74%, χ2 = 91.37, p < 0.001). The predominant sedentary mode for kindergarten students was by vehicle (38%), with < 2% using strollers/wagons. Recent immigrant status was related to higher AST in kindergarten students; higher social disadvantage, crossing guards, school population and collision rates were related to higher AST in the K–6 sample. Factors influencing AST in young students require further investigation to influence the development of healthy active lifestyles at an early age.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".