An Analysis of the Initial Contact Characteristics and Recidivism of Offenders with a Serious Mental Illness
Notice bibliographique
Résumé
This thesis addresses the growing number of inmates with a mental illness in correctional facilities in Canada which continues to attract public attention and concern. Several explanations have been put forward to explain the rise in the number of inmates with a mental illness. These include: the deinstitutionalization of the mentally ill that began in the 1970’s, lack of treatment availability for those released into the community, and criminalization of persons with a mental illness by the justice system. The increasing numbers of persons with a mental illness in the correctional system has led to serious concerns about the capacity of this system to manage, treat, and rehabilitate individuals with a mental illness. Lack of proper treatment, management, rehabilitation and monitored discharge means that inmates with serious mental illness are more likely to come into contact with the criminal justice system more frequently. \t \nThis thesis examines the incidence seriously mentally ill offenders and their propensity to recontact. Three hundred and ninety eight face-to-face assessments were conducted using the Resident Assessment Instrument-Mental Health 2.0 (RAI-MH) and from total scores from the Level of Service Inventory Ontario Revision (LSI-OR). These assessments were conducted in 14 Ontario Provincial Correctional facilities during the years 2005-2008. Bivariate and multivariate regression analysis was conducted to assess recontact rates for serious mentally disordered and non-mentally disordered offenders. \t \nWith regards to recontact, no differences were revealed between the seriously mentally ill offender and non-mentally ill offender. This null finding on recontact is very surprising given the current literature on the seriously mentally ill. An additional finding revealed that for offenders with or without a serious mental illness, having a higher score on the scale of criminogenic tendencies (LSI-OR) increased rates for recontact. Another surprising finding is that seriously mentally ill offenders were more likely to commit minor crimes upon release, rather than violent crimes as current literature suggests. A more accurate research tool, as well as a larger sample size, will be required to assess the validity of these results. \nThe implications of the negative outcome with respect to recontact and issues of identifiable risk factors for recidivism for both seriously mentally ill and non-mentally ill inmate populations are discussed in relation to outcomes in terms of both improvements to Corrections policy and theories of criminology. It is important to continue research in this area, to determine the true gravity of the incidence and recontact rates of mentally ill offenders. \n
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 | 0,000 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 ».