Environmental Awareness and Inclination towards Walking: A Smartphone Application based study
Bibliographic record
Abstract
Walking is considered to be one of the sustainable modes of transportation which reduces traffic demand leading to lower levels of pollution and congestion. It has resulted in improved physical and psychological health of individuals. This study focuses on studying walking behavior of travelers in Bahrain. Walking data was collected through Moves mobile application while a questionnaire survey was conducted to find the characteristics of the participants. Walking distance per day was found to be approximately 400m on average which is insufficient to have any significant impact on health. There was no significant change in walking behavior between day and night timings. Walking behavior was found to be related to familiarity with location, financial status and family structure of the participants. Personal characteristics (age, gender, etc.) and perception of the participant did not have any significant impact on walking behavior. It is recommended to increase awareness related to walking and improve pedestrian facilities in all areas of Bahrain to promote walking.
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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".