Characteristics and circumstances of homicidal acts committed by offenders with schizophrenia
Bibliographic record
Abstract
BACKGROUND: While men with schizophrenia are at higher risk of displaying homicidal behaviours compared with the general population, very little is known about the circumstances related to the triggering of such violent acts among offenders with schizophrenia. The main goal of the present investigation was to describe the surrounding context, psychotic symptoms, target characteristics and other circumstantial factors associated with homicidal acts committed by men with schizophrenia, with or without an additional antisocial personality disorder (APD). METHOD: Comprehensive clinical and research interviews, as well as multiple sources of information including reports from social workers and police officers, criminal records, witness statements and questionnaires completed by friends, acquaintances and family members were used to determine specific characteristics surrounding the homicidal acts. RESULTS: Overall, a significant majority of homicides were considered as the consequence of psychotic symptoms; they mostly involved someone who knew the offender; and they usually occurred in a private residence. However, the subgroup of offenders with both schizophrenia and APD were less likely to be judged as responding to psychotic symptoms; they assaulted a non-relative more frequently, and they were more likely to have used alcohol and to be involved in an altercation with the victim prior to the incident than offenders without APD. CONCLUSION: Even for such extreme acts as homicides, the circumstances affecting the occurrence of violence among offenders with schizophrenia may differ when an additional APD diagnosis is present, which would have important implications for prevention and treatment programmes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".