Homelessness, Mental Health Afflictions, Problematic Substance Use, and Associated Criminality
Bibliographic record
Abstract
Homelessness and related community ailments have plagued society for a number of years, and governments have found it difficult to get these under control. The sheer number of homeless with mental health afflictions and problematic substance use problems leaves no doubt about the need for a stronger, more urgent government response. Community ailments such as these have led to increased crime rates and incarcerations and overcrowded prisons without a lasting solution in sight. This chapter uses the transformative justice model, with the expectation it produces better results than current models, by examining the source of homelessness, mental health afflictions, and problematic substance use and their bi-directional relationship with crime. This inter-jurisdictional study compares the current situations in the state of California and the province of Ontario, which have a high percent of homeless populations. It proves that special attention to vulnerable populations such as racialized groups, the socioeconomically disadvantaged, and youth is warranted.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".