Characteristics of Injuries among Children Attending Public Primary Schools in Kisumu Municipality, Kenya
Bibliographic record
Abstract
sustained (42.1 %). However, injuries caused by fire / hot fluids were associated with gender (P < 0.002) with 76% of the pupils who reported having sustained these injuries being girls. Furthermore, gender was associated with occurrences of injuries at home (P < 0.001) with 115 out of the 201 (57.2%) children who reported having been injured while at home being girls. Almost half of the pupils sought medical care and a quarter of the pupils were hospitalized. Two-thirds of the pupils (66.5 %) received first aid which was mostly administered by a friend or family. More than half (56.7 %) of the pupils were absent from school due to the injury. Although 95.7 % of the pupils reported being taught about road safety in school, only 24 % of the pupils demonstrated a high level of awareness regarding road safety by being able to give a correct response regarding traffic lights and zebra crossing. The information obtained from this study will shed more light on the extent and characteristics of injuries occurring among primary school children and can be used to develop and implement injury prevention and safety promotion policies in primary schools. Conclusion: These findings suggest that most children in primary schools are affected by injuries sustained while playing at home; and girls are at a higher risk of burn injuries than boys. Moreover, there is a low level of awareness of road safety rules and regulations among the primary school pupils. Interventions such as adequate supervision by caregivers while children are playing and review of teaching strategies for road safety education for schools could aid in the reduction of injuries among the pupils.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".