Taking Down the Straw Man: A Reply to Webster and Doob
Notice bibliographique
Résumé
Introduction The Custody Rating Scale (CRS) was found by Blanchette, Verbrugge, and Wichmann (2002) to be a valid measure of custodial risk for federally sentenced women offenders. CRS validation includes, but is not limited to, its role in predicting institutional adjustment, escape, and reoffending. Nevertheless, in the July 2004 issue of this journal Webster and Doob (2004) question the validity of the CRS for women, primarily because Blanchette et al.'s (2002) study revealed that one of its sub-scales does not predict institutional misconduct. The fact that scores on the Institutional Adjustment (IA) sub-scale of the CRS correlated positively and significantly with violent (r = 0.39) and non-violent (r = 0.47) incidents while in custody indicates that it is a valid measure of institutional risk. The fact that the Security Risk (SR) subscale did not correlate to institutional misconduct is not surprising, as that sub-scale was designed to measure public safety risk. By setting up this straw man, Webster and Doob (2004) demonstrate that their views are misdirected and reflect a narrow understanding of the application and validation of security classification instruments. The framework for our discussions is to challenge the investigation of the CRS presented by Webster and Doob, who provide no new empirical data on the instrument per se and draw some erroneous conclusions. Rather than entering into a theoretical debate about security classification, we have chosen to take down their straw man by presenting the legal and empirical underpinnings of the CRS, offering new validation data on the instrument, and addressing other contentious issues. Legal and empirical underpinnings Unfortunately, Webster and Doob are misinformed when they state that the CRS constitutes the foundation of the security classification system in (2004: 396). In fact, it is s. 30 of the Corrections and Conditional Release Act (CCRA) that legally prescribes how security classification decisions are made. Furthermore, in accordance with ss. 17 and 18 of the Corrections and Conditional Release Regulations (CCRR), the Correctional Service of Canada (CSC) is mandated to take the following factors into consideration in assigning a security classification of maximum, medium, or minimum: (a) seriousness of the offences committed by the inmate; (b) any outstanding charges; (c) the inmate's performance and behaviour while under sentence; (d) the inmate's social, criminal, and, where available, young offender history; (e) any physical or mental illness or disorder suffered by the inmate; (f) the inmate's potential for violent behaviour; and (g) the inmate's continued involvement in criminal activities. In the field of corrections, the purpose of security classification is to protect the public, employees, and offenders through appropriate placement of the inmate. As is true of most classification instruments, CRS development began with a review of existing instrumentation being used in other jurisdictions and proceeded to empirically test common factors used to assign custody levels (Canada, Solicitor General 1987). Not surprisingly, certain factors were common to all these scales: severity of current offence, sentence length, violent criminal background, and various indices of behaviour prior to incarceration. More importantly, the background documentation for the CRS includes descriptions of classification models, two-dimensional in nature, that take into consideration both institutional risk and public risk. In these classification models, scores are integrated (in a matrix fashion) to arrive at a final custody designation. In a similar way, the CRS was designed with two dimensions: an Institutional Adjustment (IA) sub-scale (5 items: history of involvement in institutional incidents, escape history, street stability, alcohol/drug use, age at time of sentencing) and a Security Risk (SR) sub-scale (7 items: number of prior convictions, most severe outstanding charge, severity of current offence, sentence length, street stability, prior parole and/or mandatory supervision/statutory releases, age at time of first federal admission). …
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 | 0,029 | 0,123 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,004 | 0,002 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,008 | 0,022 |
| Communication savante | 0,011 | 0,030 |
| Science ouverte | 0,010 | 0,008 |
| Intégrité de la recherche | 0,082 | 0,139 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,006 |
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 ».