Shortening the trip to school: Examining how children’s active school travel is influenced by shortcuts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For children and youth, the journey to and from school represents a significant opportunity to increase daily levels of physical activity by using non-motorized modes of travel, such as walking and biking. Studies of active school travel have demonstrated that the likelihood a child will walk or bike is significantly influenced by the distance they must travel between home and school, which in turn, is influenced by built environment characteristics such as the configuration of the local road network. This study examines how shortcuts can facilitate active school travel by decreasing the distance children must travel to get to and from school. A geographic information system was used to compare shortest route distances along road networks with and without shortcuts in 32 elementary school zones in London, Ontario, Canada and provide evidence on the effectiveness of shortcuts to facilitate active school travel. This study contributes two key findings: (1) shortcuts have a greater impact in areas with low street connectivity and low population density and (2) children living farther from school are more likely to benefit from shortcuts. The findings suggest that planners should consider the location and maintenance of shortcuts in school neighbourhoods in order to promote increased physical activity, health and well-being among students.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it