Not a “Get Out of Jail Free Card”: Comparing the Legal Supervision of Persons Found Not Criminally Responsible on Account of Mental Disorder and Convicted Offenders
Bibliographic record
Abstract
BACKGROUND: The public often perceives the insanity defense as a "get out of jail free card". Conversely, several studies demonstrate the substantial control imposed upon these defendants. This study compares Review Boards decisions regarding people found not criminally responsible on account of mental disorder (NCRMD) to criminal courts decisions regarding convicted offenders for similar offenses in Canada. METHOD: Detention, using logistic regression, and duration under detention and supervision, using Cox regression, were compared between a cohort of 1794 individuals found NCRMD in three Canadian provinces (Quebec, Ontario, and British Columbia) between 2000 and 2005 followed until 2008 from the National Trajectory Project and a national sample of 3,20,919 Canadians convicted of criminal offense from Statistics Canada's Criminal Court Survey. RESULTS: Individuals found NCRMD are 3.8 times (95% CI 3.4-4.3) more likely to be detained than convicted offenders as well as 4.8 times (95% CI 4.5-5.3) and 2.9 times (95% CI 2.6-3.1) less likely to be released from detention and supervision, respectively. One year after the verdict, 73% of the NCRMD accused were still under legal supervision and 42% were still in detention, whereas these proportions were, respectively, 41 and 1% for their convicted counterparts. Interaction effects show that sex, age, jurisdiction, number of offenses, and severity of crimes committed have a differential impact on decisions applied to NCRMD accused compared to convicted persons. CONCLUSION: Contrary to popular perceptions, the insanity defense is not a loophole. Differences as to factors influencing the trajectories of the two samples confirm that Review Boards are able to distance their practices from the criminal courts and can set aside, at least in part, the principles of proportionality and punitiveness governing the traditional sentencing practices.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".