Free Range Kids? Using GPS-Derived Activity Spaces to Examine Children’s Neighborhood Activity and Mobility
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
This study examines the neighborhood activity spaces (NAS) of 9- to 13-year-old children ( n = 143) from seven schools in London, Canada. Data from Global Positioning System (GPS) loggers worn for 7 days were used to isolate and test measures for children’s pedestrian-based neighborhood activity: the maximum distance traveled from home and relative time spent in neighborhood settings. Descriptive and linear regression analyses examined the influence of individual, perceptual, and environmental factors on neighborhood use and travel. Participants spent a large portion of their out-of-school time (75%) in their NAS. Although traveling far from home on occasion, 94.5% of children’s time on average was spent within a short distance of home; participants spent little of their free time in broader neighborhood settings. School travel mode and independent mobility were among the strongest predictors of both distance traveled and time spent close to home. Perceptions of neighborhood safety, neighborhood type, and nearby land uses also influenced local activity.
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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 | 0.000 | 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