School Injury Among Ottawa‐Area Children: A Population‐Based Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Injuries are the leading cause of death among Canadian children and are responsible for a substantial proportion of hospitalizations and emergency department visits. This investigation sought to identify the factors associated with the likelihood of sustaining an injury at school among Ottawa-area children. METHODS: Children presenting to Ottawa-area hospitals and urgent care clinics from January to December 2002 (n = 24,074) were included for analysis. The frequency of school injuries by sex, age group, type of injury, and hospitalization was analyzed. Multivariate logistic regression was used to assess the factors associated with sustaining an injury at school. The school activities most associated with injury and the most frequent types of school injuries were assessed. RESULTS: A total of 4287 Ottawa-area children were injured at school in 2002, representing 18% of all injuries. Children aged 5-9 years and 10-14 years were more likely to have school injuries than older children (aged 15-19 years) (OR = 3.07, 95% CI = 2.77-3.40 and OR = 3.10, 95% CI = 2.83-3.37, respectively). The most frequently encountered school injuries were fractures (n = 1132) and musculoskeletal injury (n = 907). The most frequent mechanisms of school injuries were "playing" (n = 1004) and "informal sports" (n = 1503). CONCLUSIONS: Many children get hurt at school, particularly during informal recreation activities. Environmental modification and increased supervision are strategies that may reduce school injuries.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it