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
PURPOSE: This study examined the association of objective and perceived neighborhood environmental characteristics and parent concerns with active commuting to school, investigated whether parental concerns varied by environmental characteristics, and compared the association of the perceived environment, parental concerns, and objective environment on the outcome active commuting to school. METHODS: Randomly selected parents of children (aged 5-18 yr), in neighborhoods chosen for their variability in objectively measured walkability and income, completed questionnaires about their neighborhood environment, concerns about children walking to school, and children's behavior (N = 259). Objective measures of the environment were available for each participant and each neighborhood. Logistic regression analyses were used to investigate the relationships among environment, parental concerns, and walking or biking to or from school at least once a week. RESULTS: A parental concerns scale was most strongly associated with child active commuting (odds ratio: 5.2, 95% CI: 2.71-9.96). In high-income neighborhoods, more children actively commuted in high-walkable (34%) than in low-walkable neighborhoods (23%) (odds ratio: 2.1, 95% CI: 1.12-3.97), but no differences were noted in low-income neighborhoods. Parent concerns and neighborhood aesthetics were independently associated with active commuting. Perceived access to local stores and biking or walking facilities accounted for some of the effect of walkability on active commuting. CONCLUSION: Both parent concerns and the built environment were associated with children's active commuting to school. To increase active commuting to school, interventions that include both environmental change and education campaigns may be needed.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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