What's Good for the Goose? Examining the Impact of Gender-neutral and Gender-specific Factors in the Assessment and Treatment of Female and Male Justice-involved Youth
Notice bibliographique
Résumé
In response to female youths’ increased visibility in the legal system, more attention has been paid to understanding girls’ pathways to justice system involvement, risk for re-offending, and rehabilitative needs. Widely-used risk assessment and case management tools based on the Risk Need Responsivity (RNR) framework are largely gender neutral. Gender-responsive scholars have long advocated for the importance of additional gender-specific factors in guiding the assessment and treatment of female justice-involved youth. The dissertation is comprised of two papers which examine the contribution of proposed gender-specific factors alongside well established RNR factors in the prediction of recidivism, and how service provision aimed at intervening with these factors impacts recidivism for both male and female justice-involved youth. Paper 1 explores the relationship between trauma, criminogenic needs and recidivism. I first sought to define the distinct constructs often referred to under the umbrella term ‘trauma’: PTSD symptomology, maltreatment, and childhood adversity. The relationships between these factors, well-established criminogenic needs, and recidivism were examined and compared in a matched sample of 50 female and 50 male justice-involved youth. Females were significantly more likely than males to have experienced multiple forms of maltreatment. Several maltreatment and childhood adversity factors were significantly and positively related to criminogenic needs. PTSD symptomology and childhood adversity were not significant predictors of recidivism; however, maltreatment was the strongest predictor of recidivism for both males and females in a model that included well established risk factors. Gender was not found to be moderating the relationship between maltreatment and recidivism. Implications of the findings for theory and practice are discussed. Paper 2 examines the contribution of both criminogenic needs and several additional proposed ‘female’ gender-specific factors to risk assessment and rehabilitative treatment. Female youth were more likely than male youth to have proposed ‘female’ gender-specific needs but these needs alone did not predict recidivism. Successfully matching services to youths’ criminogenic needs predicted reduced recidivism for both male and female youth. For youth who had ‘female’ gender-specific needs, successful matching of services to these needs also predicted reduced recidivism for both genders. Theoretical and practice implications of these results are discussed.
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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 | 0,011 |
| 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 | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».