Examining the impact of traffic environment and executive functioning on children's pedestrian behaviors.
Bibliographic record
Abstract
The process of integrating visual information and planning a safe crossing is cognitively demanding for many young children. We assessed relations between traffic characteristics, aspects of children's executive functioning (EF), and pedestrian behavior, with the aim being to determine whether well-developed EF would predict safer pedestrian behaviors beyond the contributions of child demographic and traffic environment factors. Using the pretend road method, we studied a sample of 83 children aged 6-9 in a series of 5 crossing trials beside a real road in response to actual traffic conditions. Traffic characteristics and pedestrian behaviors were observed and measured across crossing trials. Both traffic characteristics and EF, most notably cognitive efficiency, were strongly related to children's pedestrian crossing behaviors. Traffic characteristics were also found to interact with children's ability to monitor their crossing performance. Examining developmental influences in pedestrian injury etiology broadens researchers' knowledge of and ability to prevent injuries by moving beyond describing what happens to children and examining why pedestrian injuries occur.
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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 | 0.000 | 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 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".