Police officers' views of specialized intimate partner violence training
Notice bibliographique
Résumé
Purpose A variety of strategies have been developed with the goal of improving justice responses to intimate partner violence. Among these are increasing demands for specialized training of justice professionals. This paper sets out to describe the development of a specialized training program for police officers, drawing attention to the role played by a strong partnership and collaborative approach. Design/methodology/approach Focus groups were held in the winter of 2008 with 30 police officers employed by a municipal police agency who had participated in specialized training on intimate partner violence. Findings As part of a follow‐up to the delivery of training, focus groups examined the impact of specialized training on the preparedness of officers and drew attention to existing challenges in policing intimate partner violence from their perspective. Drawing on earlier studies, the paper makes an important contribution to the law enforcement training literature, illustrating that key to successful development and delivery of specialized police training are extensive partnership and collaborative approaches throughout the initiative. Research limitations/implications The paper is limited by the missing voices of victims and whether or not they perceive a difference in officer response to intimate partner violence as a result of specialized training. In addition, the sample size is relatively small and thus the findings may not be generalizable to a larger sampling. Further, this paper is based on follow‐up only one year after training was implemented at the pilot stage. The work does not tell whether specialized training makes a difference over time or whether training is more effective when continuous. Therefore, the analysis must also be extended to police files, highlighting police responses to such calls. Practical implications Policing services have had to make intimate partner violence a priority. Given the number of calls to police for intervention and the risk of danger, more attention has been placed on specialized training, collaboration across academic and community sectors, as well as changes to legislation. This training is meant to complement existing police training initiatives and enhance awareness about some of the complex issues involved in police intervention. Originality/value With its focus on the voices and experiences of police officers responding to intimate partner violence calls, the paper addresses a gap in the literature.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».