The National Trajectory Project of Individuals Found Not Criminally Responsible on Account of Mental Disorder in Canada
Notice bibliographique
Résumé
When the topic of mental illness is raised, few issues stir public and media interest, and generate as much controversy, as the verdict of not criminally responsible on account of mental disorder (NCRMD). Rare but sensational cases make the news, such as Vincent Li,1 found NCRMD for killing a fellow Greyhound bus passenger, and Allan Schoenborn,2 found NCRMD for killing his children. However, there is a firmly established legal doctrine in criminal justice systems around the world that recognizes that it is inappropriate to punish people who do not have the capacity to form criminal intent at the time of an offence. In Canada, section 16 of the Criminal Code defines the verdict of NCRMD asNo person is criminally responsible for an act committed or an omission made while suffering from a mental disorder that rendered the person incapable of appreciating the nature and quality of the act or omission or of knowing that it was wrong.3The increase in the number of people found NCRMD during the past 20 years,4 some recent high-profile cases, and the increasing voice of victim advocacy groups has brought to the forefront issues around processing and dispositions of people found NCRMD. The prominence of these types of cases has supported the current tough on crime approach to legislative reforms in Canada, including the trend toward longer detentions.5-7 The foundation of this approach is its appeal to the public desire for safer communities and decreased violence and crime. However, recent crime statistics have continued to show trends of decreasing criminality, and in particular violent criminality, in Canada.8 As our colleagues very eloquently demonstrated, current tough on crime policies are not supported by the current scientific evidence.6,7 In fact, theory (Risk-Need-Responsivity)9 and research firmly demonstrate that excessive intervention disproportionate to risk can actually increase the rate of adverse events, such as criminal recidivism, suggesting that the platform on which tough on crime laws are stationed are unstable and lacking an evidence base. Recently, the federal government introduced Bill C-54, which then became Bill C-14,5 now known as the Not Criminally Responsible Reform Act, which took effect on July 11, 2014. This legislative amendment to Part XX.1 of the Criminal Code on Mental Disorders consists of 3 main components, namely the explicit recognition that public safety is the paramount consideration in the decision-making process related to accused people found NCRMD, the creation of a new category of high-risk NCRMD accused, and the involvement of victims in the decision-making process related to people found NCRMD. Some elements of the act, particularly the high-risk designation and dispositions, run counter to the most recent scientific evidence on the trajectories of Canadian individuals found NCRMD. This legislative controversy in addition to the recent tough on crime policy trends6 are likely to have significant effects on vulnerable populations, such as people living with a mental illness,7 and highlight the disconnect between evidence, public discontent, and current legislative policies in Canada.10In this special section of The Canadian Journal of Psychiatry, we present the initial results of the National Trajectory Project.11 The National Trajectory Project investigated the trajectories of people found NCRMD in the 3 most-populated Canadian provinces (British Columbia, Ontario, and Quebec), each of which has a distinct organizational structure of forensic mental health services and varying general crime statistics. The goal of the study was to examine the operation of current criminal justice provisions for people declared NCRMD by the courts, and made subject to the jurisdiction of a provincial or territorial review board.This special feature addresses some of the current beliefs and perceptions about the NCRMD population and contextualizes some of the observed profiles and trends through 4 empirical papers following a detailed description of the methodology used to conduct the study across provinces (see Part 112). …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,009 | 0,015 |
| Études des sciences et des technologies | 0,018 | 0,003 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,004 | 0,008 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».