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The Risky Business of Risk Assessment

2002· article· en· W1544730641 sur OpenAlexaboutno aff
Kim Pate

Notice bibliographique

RevueHecate · 2002
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCriminal Justice and Corrections Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPrisonCriminologyRisk assessmentProject commissioningSociologyPsychologyPublishingPolitical sciencePublic relationsLawEconomicsManagement
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Correctional authorities in many Canadian provinces and territories are utilizing actuarial risk assessment procedures with criminalized adults and youth within their jurisdictions. Although some highly problematic philosophical issues and extremely challenging practical problems have been created by attempts to adapt imperfect models of risk assessment(s) designed for adults to the circumstances of youth, there is virtually no research regarding the appropriateness of applying such approaches to youth. This is especially the case when one considers the circumstances of some of our most marginalized young people. This article is a shortened version of a paper presented to the Women in Prison Conference in Brisbane in November 2001. It highlights some of the major challenges and critical issues regarding the use of actuarial instruments. Since there is very little material that directly addresses the issues raised by, or the results of applying, these sorts of assessment approaches to youth, much of it involves analysis and discussion of existing research and writing on the subject. In addition, the following discussion includes extrapolations and application of existing analyses and research results to the most marginalized groups of those who are criminalized. The longer version also focuses upon the circumstances of several young women who have been identified as some of the most `criminal' and `violent' youth in Canada by the systems that attempt to control them. Given the realities and normal range of phases of adolescent development, it would be the rare young person who would not be assessed as challenging authority, under-employed, sexually experimenting, et cetera. In short, it would be the unusual teen whose actuarially assessed risk would be non-existent. The most reliable way to predict which young people will likely be assessed as high risk by actuarial risk assessment tools designed for adults, whether or not they have been adapted for use with/on youth, is first to assess or categorize them on the basis of their respective degrees of disadvantage and marginalization. Contextualizing the Issues The proposed changes to the juvenile justice system, the Youth Criminal Justice Act (YGJA), particularly the provisions related to moving youth into the adult system, embody many tensions, some of which will be discussed later. On the one hand, the YGJA renders more procedurally and substantively stringent the test as to which young people will be subjected to the adult system. On the other hand, once relegated to that system, all privacy protections are stripped away, thereby reducing future rehabilitative and reform prospects. This reality is perhaps best exemplified by an examination of some actual cases. To this end, I am appending The Story of K. I also recommend that the situations surrounding transfer applications involving other young people be examined and analyzed in light of the foregoing. The few with which I have been directly involved place the system in sharp relief and reflect the glare of race and class bias. One exception is J.W., a young racialized woman charged with murder, whose counsel conducted a relatively exhaustive review of the deficits of the adult correctional system to which the prosetutorial team wished to see her transferred. Other young, racialized, and disabled women who have been targeted for transfer have not been able to escape the adult system. J.W. was not transferred and has therefore never been identified publicly. She has, however, been provided with opportunities for growth and development, as opposed to regression, thanks to the particular interventions of her family and some very committed staff within the youth justice system. The results of the positive, racially-cognizant, youth-directed, and supported approaches she experienced are underscored by her current reality. As I write this, J. is preparing for her final classes and examinations to complete her third year of university. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,055
score de la tête « metaresearch » (Gemma)0,143
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil0,292

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0550,143
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0060,004
Études des sciences et des technologies0,0050,042
Communication savante0,0210,020
Science ouverte0,0030,010
Intégrité de la recherche0,0060,014
Charge utile insuffisante (le modèle a refusé de juger)0,0100,003

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.

Tête enseignante Opus0,031
Tête enseignante GPT0,324
Écart entre enseignants0,293 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2002
Routes d'admission1
Résumé présentoui

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