Correlates of Active School Transport Immediately Before and After the Transition from Primary to Secondary School: A Pilot-Study
Bibliographic record
Abstract
The transition from primary to secondary school is a major life event associated with large decreases in physical activity levels. Cross-sectional studies also suggest that secondary school students are less likely to engage in active school transport (AST; e.g. walking and cycling to/from school). To our knowledge, no longitudinal study has previously examined the correlates of AST immediately before and after the school transition. This pilot-study assessed: 1) the concordance between child- and parent-perceived barriers to AST (with Spearman correlations); 2) the associations of AST with child- and parent-perceived barriers to AST, parental neighborhood selection factors and socio-demographic characteristics (using Fisher’s exact test). Participants were recruited in four K-6 schools (where children are required to change school after grade 6) located in census tracts with varying population density in Ottawa (Canada). All assessments were done at baseline and follow-up with respectively 49 and 29 participants. Substantial concordance was found between child- and parent-perceived barriers to AST at baseline, but not at follow-up; this might reflect the novelty of the route and the secondary school environment. Distance between home and school was the strongest barrier to AST while road safety concerns and the perception of having too much stuff to carry were also important barriers to AST. Children were more likely to engage in AST when their parents reported that they chose their neighborhood so that their children could easily walk or bike to school; thus future studies should take parental neighborhood selection into account. These findings should contribute to inform future research informing the development of policies and interventions to promote AST.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".