Prediction of Recidivism in Extrafamilial Child Molesters Based on Court-Related Assessments
Notice bibliographique
Résumé
One hundred ninety-two convicted extrafamilial child molesters were followed for an average of 7.8 years after their conviction. The percentage of men who had committed a sexual, a violent, or any criminal offense by the 12th year was 15.1, 20.3, and 41.6, respectively. The sexual recidivists, compared with the nonrecidivists; demonstrated more problems with alcohol and showed greater sexual arousal to assaultive stimuli involving children than to mutually consenting stimuli with children. The violent recidivists, compared with the nonrecidivists, were more likely to have a history of violence in the families in which they were raised and were rated significantly more psychopathic on the Psychopathy Checklist--Revised (PCL-R). They also showed more sexual arousal to stimuli depicting mutually consenting sexual interactions with children than to adult stimuli. In terms of any criminal recidivism, recidivists were younger, had completed fewer years of school, and were raised in psychologically more harmful family environments compared with nonrecidivists. They also reported that, before 16 years of age, they were more likely to have been physically abused and were more likely to have been removed from their homes compared to those that did not recidivate. In addition, recidivists demonstrated more general hostility on the Buss-Durkee Hostility Inventory and were rated significantly more psychopathic on the PCL-R. The phallometric assessments revealed, that the criminal recidivists, compared to the nonrecidivists, showed more sexual arousal to stimuli depicting coercive sexual activity with children than consenting sexual activities with children. In addition, they showed more sexual arousal to scenes depicting adult rape then adult mutually consenting sex. Finally, the recidivists also had more charges or convictions for violence and any criminal acts. The small number of significant differences between recidivists and nonrecidivists in the sexual and violent categories precluded an attempt to determine which combination of factors meaningfully predicted reoffending. However, for criminal recidivism, a stepwise discriminant function analysis to assess the combination of factors that most successfully distinguished between groups in terms of criminal recidivism was significant, with subjects' age, total number of criminal convictions, and pedophile assault index being retained for optimal prediction. The procedure correctly classified 70.6% of the original group, 82.8% of the nonrecidivists, and 52.6% of the recidivists. PCL-R Total Score alone was equally successful in a similar discriminant function.
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 | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».