Exploring the nature and prevalence of targeted violence perpetrated by persons found not criminally responsible on account of mental disorder
Bibliographic record
Abstract
Although mental illness has a demonstrated link with violence, the prevalence of targeted (planned and goal-directed) violence perpetrated by individuals with mental illness and its association with psychiatric symptoms is relatively unexplored. File information was compared for all 293 individuals found not criminally responsible due to mental illness in British Columbia between 2001 and 2005, of whom 19% had committed targeted violence. Most individuals with targeted offenses displayed at least one warning behavior before their offense (93%); all displayed delusions and approximately one third exhibited hallucinations. Compared to individuals who perpetrated non-targeted offenses, the individuals with targeted offenses displayed greater proportions of threats/criminal harassment, had female victims, displayed a psychotic disorder and/or personality disorder, and displayed delusions during the offense. This implies that severe psychiatric disorders do not preclude the perpetration of planned violence and suggests that exploring symptoms of mental illness that may be proximally indicative of targeted violence is important in preventing future acts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".