Domestic Homicide: Examining the Role of Male Perpetrator Suicidality
Bibliographic record
Abstract
Male perpetrator depression and suicidality has been shown to be associated with domestic homicide perpetration. The association between suicidality and domestic homicide perpetration may be particularly strong in the context of coercive control. While aspects of male perpetrator suicidality have been linked to coercive control, there are also other documented reasons for male perpetrator suicidality in domestic violence contexts (e.g., relational disruption, maladaptive coping mechanisms). Given that some scattered research has revealed relationships amongst coercive control, male perpetrator suicidality, and domestic homicide, further research should continue to explore these relationships and also explore the degree to which non-coercive and coercive narratives are situated within accounts of male perpetrator suicidality. A two-study mixed-methods approach was taken to achieve this. Study 1 quantitatively examined the link between coercive control and suicidality by analyzing 16 years of data from Ontario’s Domestic Violence Death Review Committee. Results demonstrate high rates of homicide-suicide, prior threats of suicide, and prior suicide attempts in perpetrators of domestic homicide. Results also outline differential relationships between each of the three aforementioned aspects of suicidality with coercive control and with non-coercive risk. Study 2 qualitatively explored female survivors’ and the bereaved’s construals of male perpetrator suicidality within their broader experiences of domestic homicide and domestic violence. Reflexive thematic analysis was completed with in depth interviews with 13 survivors and 2 proxies. Dominant themes were generated in the form of three dimensions, which outline how male perpetrator suicidality was situated within narratives of coercive control and within narratives of male depression and poor mental health across various contexts and times. Results across both studies highlight the relevance of male perpetrator suicidality in the context of domestic homicide and domestic violence. Both studies also demonstrated how one important way of understanding male perpetrator threats of suicide is as one tactic of coercive control. Put together, these key learnings have critical implications for violence risk assessment, suicide risk assessment of men, and the treatment of violent men. These implications and future directions for preventing and ending domestic homicide are discussed.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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 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".