Domestic/Family Violence Death Reviews
Bibliographic record
Abstract
Domestic/Family Violence Death Reviews (D/FVDRs) have been established in a number of high-income countries since 1990 as a mechanism to inform prevention-focused interventions to reduce domestic/family violence. D/FVDRs differ in their structure, governance, case identification processes and inclusion criteria, review measures, and outputs. Outside of the United States, the extent of heterogeneity across and within countries has not been explored. This study comprised an international comparison of D/FVDRs and their core elements to inform the establishment of D/FVDRs in other developed countries, and potentially low- and middle-income countries where violence is a leading cause of death. Such a review is also a necessary foundation for any future evaluation D/FVDRs. The review identified 71 jurisdictions where a D/FVDRs had been established in the past two decades, 25 of which met the inclusion criteria. All D/FVDRs examined stated a reduction in deaths as a goal of the review process; however, none reported an actual reduction. The focus of the D/FVDRs examined was on intimate partner homicides; however, more recently established D/FVDRs include other familial relationships. Almost one third of the D/FVDRs examined reported changes to the domestic/family system that occurred as a result of recommendations made from the review process. While similar in many ways, D/FVDRs differ along a number of important dimensions that make it difficult to identify best practices for jurisdictions considering the establishment of such an initiative. To share knowledge, existing networks should be expanded nationally and internationally to include jurisdictions that may be considering this initiative.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.021 | 0.113 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.017 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".