Men, Masculinities, and Murder-Suicide
Bibliographic record
Abstract
Murder-suicide (M-S) is a complex phenomenon that can involve a multifaceted set of interrelated biological and social factors. M-S is also sexed and gendered in that the perpetrators are most often male and their underpinning motives and actions link to masculinities in an array of diverse ways. With the overarching goal to describe connections between men, masculinities, and M-S, 296 newspaper articles describing 45 North American M-S cases were analyzed. The inductively derived findings revealed three themes: (a) domestic desperation, (b) workplace justice, and (c) school retaliation. Cases in the domestic desperation theme were characterized by the murder of a family member(s) and were often underpinned by men's self-perceptions of failing to provide economic security. Workplace justice cases emerged from men's grievances around paid-work, job insecurity, and perceptions of being bullied and/or marginalized by coworkers or supervisors. The school retaliation cases were strongly linked to "pay back" against individuals and/or society for the hardships endured by M-S perpetrators. Prevailing across the three themes was men's loss of control in their lives, hopelessness, and marginalized masculine identities. Also evident were men's alignments to hegemonic masculinities in reasserting one's masculine self by protesting the perceived marginalization invoked on them. Overall, the findings give pause to consider the need for men-centered M-S prevention strategies to quell the catastrophic impacts of this long-standing but understudied men's health issue.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".