BEGINNING TO UNDERSTAND THE ECONOMIC COSTS OF CHILDREN’S EXPOSURE TO INTIMATE PARTNER VIOLENCE
Bibliographic record
Abstract
Intimate partner violence comprises 37% of violent crime in Canada, imposing significant economic costs on society. Childhood exposure to intimate partner violence is a well-documented phenomenon, but the resulting costs are less understood. Some research has found that children exposed to intimate partner violence are at a greater risk of developing health and behavioural problems that potentially impact these children as well as society as a whole. However, there is no known estimate of the economic costs of this exposure to intimate partner violence. In this paper, we develop a simple model to estimate these costs. We estimate that each year there are approximately 125,000 new children exposed to intimate partner violence generating a yearly economic cost to society of $759 million for that one cohort of children in Canada. Over a period of 10 years, this one cohort would impose an economic cost of $7.0 billion, and this is substantially underestimated because it does not include the new sets of children exposed to intimate partner violence each year. As such, the potential for societal economic cost savings resulting from the prevention of intimate partner violence is significant.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".