Criminal Justice System Contacts among Suicide Decedents in Toronto, 1998-2020: An Observational Study: Démêlés avec le système de justice pénale parmi les personnes décédées par suicide à Toronto, entre 1998 et 2020 : Une étude d’observation
Bibliographic record
Abstract
Objective This exploratory correlational study explored the demographic, clinical, and offence-type characteristics of people with documented past-year contact with the criminal justice system (CJS) in Toronto, Canada who died by suicide. We aimed to compare demographic and clinical factors among individuals with CJS contact who died by suicide to those without recorded CJS contact who died by suicide. Methods Coroners’ final death reports from all recorded suicide deaths in Toronto between 1 January 1998 and 31 December 2020 were retrieved by research staff and coded at the Office of the Chief Coroner (OCC) of Ontario. A series of bivariate analyses and binary logistic regression analyses were performed to compare demographic and clinically relevant characteristics between these groups. Descriptive statistics relating to demographic, clinical, and offence-type characteristics were reported. Results A total of 5,288 people died by suicide, of whom 251 (4.7% of all suicides) had recorded CJS contact prior to death. Assault, physical assault, impaired driving, serious/death threats, and sexual assault were the most common criminal charges among those in the CJS contact group. When compared with the no recorded CJS contact group, the CJS contact group was slightly younger ( M = 40.0, SD = ±13.4 vs. M = 47.5, SD = ±18.1, p < 0 .001 ), had a higher proportion of males (85.6% vs. 69.9%, p < 0 .001 ), more commonly experienced interpersonal (36.3% vs. 14.5%, p < 0 .001 ) and/or relationship break-up/breakdown stressors (16.7% vs. 7.5%, p < 0 .001 ), and substance misuse or substance use disorders (37.5% vs. 18%, p < 0 .001 ). Conclusions Our findings highlight that younger men with interpersonal stressors and/or substance misuse characterize suicide decedents with recorded CJS contact in Toronto, Canada. Suicide prevention efforts and strategies should consider the profile differences among those navigating the CJS. Plain Language Summary Title Criminal Justice System Contacts among Suicide Decedents in Toronto
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".