A Typology of Lifetime Criminal Justice Involvement Among Homeless Individuals With Mental Illness: Identifying Needs to Better Target Intervention
Bibliographic record
Abstract
This study aimed to characterize lifetime criminal involvement among homeless people with mental illness in Canada ( N = 1,682). A latent profile analysis yielded five classes. Most participants fell within the Fewer Needs (75.5%) group, characterized by less complex psychosocial histories and few criminal charges. Participants with Extensive Criminogenic Needs (5.0%) and Acute and Extensive Criminogenic Needs (5.0%) had more charges for justice administration, violent, and mischief/public order offenses and were more likely to have been charged before their first homelessness episode. Participants with Needs Associated with Homelessness (10.6%) and Needs Associated with Drugs (3.8%) were similar, although the former had the longest history of homelessness and the latter had more drug-related charges and were most likely to have drug use disorder. This typology, which sheds light on the cumulative needs associated with different patterns of lifetime criminal involvement among homeless people with mental illness, could guide prevention initiatives and intervention strategies.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".