PW 2289 Injury risk assessment in schools in karachi, pakistan
Bibliographic record
Abstract
Studies from low- income countries have shown that 7% of all childhood injuries occur in schools; however little is known about the injury hazards present in the school environment. The objective of this study was to develop and pilot injury risk assessment tool in the schools in Karachi. The study was conducted from March – June 2013. These risk observations in school environment were done by trained data collectors. The injury risk assessment was done in 107 schools. About a quarter (26%) of classrooms had broken furniture. In 50.9% of schools the playground surface was of concrete. About 28.3% schools had low height of corridor walls, while 60.4% schools had open wires in electrical switches. In 14.2% of schools there were cleaning chemicals in toilets within the reach of children. There were stray dogs within schools (22.4%). This was the first time that injury school environment risks tool was developed and piloted in the context of Pakistan. There was a significant burden of hazards present in the school environment representing an important opportunity for injury prevention.
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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 | 0.002 | 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 | 0.001 |
| 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".