Compulsory Drug Treatment in Canada: Historical Origins and Recent Developments
Bibliographic record
Abstract
In Canada, illicit drug use and addiction have traditionally been considered as a criminal justice problem and have been addressed from a legal perspective. Over the past century, a medical approach to drug addiction has slowly crept into the criminal justice processing of drug offenders. This has happened through the combination of principles of punishment with principles of addiction treatment in the sentencing of drug offenders to create a distinct application of 'compulsory drug treatment' in Canada. However, this evolution has occurred sporadically over time, with punishment and coercion as predominantly the main approach to dealing with this population. This evolution has recently culminated in Canada with the development of two criminal justice approaches to dealing with the substance use problems of drug offenders that incorporate concepts of punishment and treatment more equally than ever before - conditional sentencing and drug courts. This paper outlines the historical evolution of concepts of 'compulsory treatment', discusses such examples of contemporary 'compulsory treatment' as conditional sentencing and drug courts, and analyses the implications, concerns and challenges associated with these tools currently used in the sentencing of drug offenders in the Canadian context.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.014 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".