Mechanisms of Pediatric Trauma Deaths in Canada and the United States: The Role of Firearms
Bibliographic record
Abstract
BACKGROUND: This study aimed to determine whether firearms are a more prevalent cause of pediatric death in the United States than in Canada. METHODS: All pediatric trauma deaths from 1991 to 1996 in Ontario and Missouri were reviewed. Socioeconomic data were compiled for the two jurisdictions. RESULTS: During the period reviewed, there were 1,146 pediatric trauma deaths in Ontario (10.4 per 100,000 population) and 1,782 in Missouri (32.4 per 100,000 population). Firearm injuries accounted for 19% of the trauma deaths in Missouri and 0.5% of such deaths in Ontario. Overall, a child was 100 times more likely to die of firearm injury in Missouri (6 per 100,000 population) than in Ontario (0.06 per 100,000 population). The incidences of violent acts unrelated to firearms were similar between the two groups. Both populations were similar in terms of socioeconomic and education parameters, but differed in their rates for guns carried. CONCLUSION: The significantly higher death rate from firearm injuries in Missouri likely reflects differing gun control attitudes and legislation, and provides a rationale for prevention and future investigation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".