Clothing-related motorcycle injuries in Pakistan: findings from a surveillance study
Bibliographic record
Abstract
This study aims to assess the burden and patterns of clothing-related motorcycle injuries in Karachi, Pakistan. Data were extracted from an ongoing traffic injury surveillance system. In three years (2007-2009), out of 99155 road traffic injury cases there were 986 (0.9%) cases of clothing-related motorcycle injuries. Most cases were females (73.9%) and pillion riders (80.6%). The crashes involving clothing-related injuries were mostly single vehicle (98.5%), and largely resulted in injuries to the external body (60.3%), limbs (51.0%), head (41.5%) and face (35.9%). One-third of injuries were either moderate (26.7%) or severe (10.2%) while 10 (1.01%) deaths were reported. Female gender (11.4%), age ≥ 45 years (19.4%), pillion riding (11.3%) and crashes occurring at intersections (12.3%) were more likely to result in moderate or severe injury as compared to other users (P < 0.001). Injuries due to entanglement of loose fitting clothing in motorcycles are not uncommon in Karachi. Awareness campaigns for prevention of such injuries may involve promotion of appropriate dressing for motorcycle riding including close wrapping of clothes and encouraging installations of covers on the rear wheels and drive chains.
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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 | 0.001 | 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 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".