Child maltreatment mortality in Canada: An analysis of coroner and medical examiner data
Bibliographic record
Abstract
BACKGROUND: Fatalities are the most severe consequence of child maltreatment, but there are gaps in what is known about the epidemiology of such deaths in Canada. OBJECTIVES: The objectives of this study were to: (1) identify child maltreatment deaths among those classified as homicide or undetermined manner; (2) estimate rates of child maltreatment mortality by sex, age, geography, and year; and (3) measure differences between rates of child maltreatment mortality and homicide mortality. METHODS: We used a cross-sectional design and analyzed mortality data from the Canadian Coroner and Medical Examiner Database for a ten-year period (2007 to 2016). To identify child maltreatment deaths, we reviewed narrative data about children aged 0 to 17 years old whose deaths were classified as homicide or undetermined. Descriptive statistics, mortality rates, and incidence rate ratios were calculated. RESULTS: Among the 1758 child deaths due to homicide or an undetermined manner, maltreatment was the probable cause in 20.4 % (n = 359) of deaths; most child maltreatment deaths (72.1 %, n = 259) were among children younger than 5 years old. The national child maltreatment mortality rate was 0.55 deaths per 100,000; the rate was highest among infants (3.43 per 100,000) and decreased at older ages. CONCLUSION: This study provides evidence about the epidemiology of child maltreatment mortality in Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".