Perceptions, barriers, and strategies of women pillion riders about helmet use—a qualitative study from Pakistan
Bibliographic record
Abstract
Introduction Despite the importance of a helmet in prevention of head injuries among motorcyclists, there is limited use of helmet both by drivers and female pillion riders in Pakistan. Objective The objective of the study is to explore perceptions, barriers, and strategies of women pillion riders regarding the use of motorcycle helmets. Methods Data was collected from five focus group discussions (FGDs) held with women pillion riders working at the Aga Khan University (AKU). Interviews and focus groups were transcribed verbatim and checked for accuracy before being imported into NVivo2. Written informed consent was taken from each participant before the beginning of each discussion. Results Some major themes included (1) motorcycles are a risky transport (2) all participants never wore a helmet or never thought about wearing a helmet (3) did not know about the helmet law (4) the most important benefit of helmet use expressed was ‘safety’ Possible barriers to helmet use included (1) a lack of awareness regarding helmet law (2) uninvited attention from people from wearing a helmet (3) the saddle-sided sitting style of women (4) concerns about their looks and discomfort from wearing a helmet. Suggested strategies for implementing helmet use included (1) awareness campaigns through media (2) use of helmets by women police (3) strict law enforcement in the form of fine/ticket. Significance Publicising and awareness on the helmet law for pillion riders should be the first step towards initiating helmet use among women pillion riders in Pakistan.
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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 | 0.001 |
| 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".