Treatability evaluations for young offenders: an exploration of decision-making in context
Notice bibliographique
Résumé
The objective of this study was to develop a model that describes clinicians' treatability decision-making for young offenders in the Ontario judicial system. A mixed methodological approach was used to quantitatively identify the variables clinicians consider when evaluating treatability and qualitatively explain why clinicians consider specific variables in their judgments. A series of complementary investigations were conducted. In Study 1, psychologists, psychiatrists, and social workers were interviewed to determine the variables they consider in assessing treatability and what factors influence these judgments. Clinicians considered diagnostic, criminogenic, contextual, and attitudinal variables. Youth, clinician, and assessment context characteristics influenced judgments. In Study 2, the same clinicians ranked 17 variables in order of importance when evaluating treatability in young offenders. Inter-clinician differences were apparent in the ranking of variables and rankings were significantly influenced by clinical orientation. Clinicians who were strongly influenced by empirical research ranked Criminal History as more important while clinicians who primarily adhered to a clinical model ranked Mental Health History as more important. In Study 3, 348 assessment reports were examined to determine the variables considered in actual treatability decisions, whether judgments are influenced by profession, and whether judgments change over time. Clinicians weighed different variables when assessing treatability. For psychiatrists, a youth's presentation, presence of Antisocial Personality Disorder, denial of difficulties, and mental and criminal history predicted optimistic or pessimistic judgments while presentation and decade of an assessment predicted psychologists' judgments. Professional influences were also evident by the finding that psychologists offered optimistic judgments and treatment recommendations significantly more often than psychiatrists. The hypothesis that judgments would become pessimistic over time was not supported. The collective findings led to the development of a treatability decision model that characterized this judgment as considering different treatability criteria that, in turn, are based on factors associated with the youth, clinician, and assessment context. Findings suggest that there is no standard approach for assessing treatability and that judgments vary depending on who conducts the assessment. Areas of focus for standardization of treatability are delineated and suggestions for the content of a treatability scale, consistent with the judgment model, are offered. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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 | 0,006 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,008 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».