International Journal of Law Crime and Justice最新文献_第3页

Women intimate partner violence revictimization during protection orders in Montevideo, Uruguay. Risk factors and policy implications 乌拉圭蒙得维的亚保护令期间妇女亲密伴侣暴力再次受害。风险因素和政策影响

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-28 DOI: 10.1016/j.ijlcj.2024.100720

Victoria Gambetta, Sofía Vanoli-Imperiale

{"title":"Women intimate partner violence revictimization during protection orders in Montevideo, Uruguay. Risk factors and policy implications","authors":"Victoria Gambetta, Sofía Vanoli-Imperiale","doi":"10.1016/j.ijlcj.2024.100720","DOIUrl":"10.1016/j.ijlcj.2024.100720","url":null,"abstract":"<div><div>This study explores risk factors for Protection Order (PO) violation in intimate partner violence (IPV) cases in Montevideo, Uruguay, a topic not yet investigated in Latin America. Using a sample of 1057 police-reported IPV cases, logistic regression compares literature-supported risk factors with those used in public policy to predict women's IPV revictimization. Results show that 26% of offenders violate POs, mainly through harassment (82%) and psychological violence (46%), and police monitoring reduces risk of offenders' recidivism by 48.5%. Additionally, they highlight that IPV trajectories of both victims (OR = 1.85) and offenders (OR = 1.89) are the strongest predictors of reabuse. These findings suggest that Uruguayan policymakers should rethink police intervention and public action on IPV by focusing on two key actions: increasing investment in data collection and analysis to improve PO monitoring and police response, and developing strategies beyond criminal sanctions to address offender treatment and victim support to prevent IPV reabuse.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100720"},"PeriodicalIF":1.0,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effects of absolute status, relative status, and patriarchal culture on the victimization of women: An international comparative study 绝对地位、相对地位和父权文化对女性受害的影响：国际比较研究

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-26 DOI: 10.1016/j.ijlcj.2024.100722

Sohee Kim , Sungil Han , Melanie-Angela Neuilly

引用次数: 0

“It’s the workload, not the pictures that keep me up at night.” Experiences of Norwegian police prosecutors working with child abuse cases “让我夜不能寐的是工作量，而不是照片。”挪威警察检察官处理虐待儿童案件的经验

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-25 DOI: 10.1016/j.ijlcj.2024.100723

Ingrid Steen Rostad , Eva Langvik

{"title":"“It’s the workload, not the pictures that keep me up at night.” Experiences of Norwegian police prosecutors working with child abuse cases","authors":"Ingrid Steen Rostad , Eva Langvik","doi":"10.1016/j.ijlcj.2024.100723","DOIUrl":"10.1016/j.ijlcj.2024.100723","url":null,"abstract":"<div><div>Prosecutors are regularly exposed to traumatic accounts of crimes against children in their work. Accompanied by other stressors such as heavy caseloads and short deadlines, prosecutors in child abuse cases are at risk for psychological ill-health. We aimed to explore the experiences of prosecutors working as leading interrogators in cases of child abuse and to identify their most salient challenges and resources. We conducted semi-structured interviews with six prosecutors working in a police district in Norway, all specialized in child abuse cases. A thematic analysis identified the workload and being responsible for the investigation but without any authority to allocate resources as the main stressors. Further, the nature of the cases increases the stress, and the prosecutors are left out of debriefing routines. Further, they experience marginal acknowledgment and understanding from the management, and collegial support is scarce. The prosecutors describe the complexity and challenging part of investigating child abuse cases as highly motivating and meaningful.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100723"},"PeriodicalIF":1.0,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of data quality on spatial patterns of burglary and association with socio-environmental characteristics: A comparison between data from the Judicial Documents Website and police records 数据质量对入室盗窃空间格局的影响及其与社会环境特征的关联：司法文件网站数据与警方记录数据的比较

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-24 DOI: 10.1016/j.ijlcj.2024.100724

Zengli Wang , Jingjing Li , Xiaohan Yang

{"title":"The impact of data quality on spatial patterns of burglary and association with socio-environmental characteristics: A comparison between data from the Judicial Documents Website and police records","authors":"Zengli Wang , Jingjing Li , Xiaohan Yang","doi":"10.1016/j.ijlcj.2024.100724","DOIUrl":"10.1016/j.ijlcj.2024.100724","url":null,"abstract":"<div><div>This study examined the differences in spatial burglary patterns and their association with socio-environmental characteristics between publicly accessible crime data from Judicial Document Website (JDW) and police-recorded data with restricted access. We compared the spatial distribution of burglary incidents at the subdistrict level and applied a negative binomial regression to analyze differences in the relationship between burglary rates and socio-environment factors across the two datasets. JDW data accounted for approximately 10% of burglary cases documented by the police records. Compared to police records, JDW data quality had a minimal effect on spatial patterns, hotspot distribution, and the relationship between the burglary distribution and the explanatory variables. Our findings highlight that crime data quality plays an important role in revealing the spatial patterns of crime and their associations with socio-environmental characteristics. Further, this study also helps contextualize the criminology research using JDW data when that is the only option.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100724"},"PeriodicalIF":1.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the spatiotemporal evolution and influencing factors of theft crimes: A comparative analysis before and during COVID-19 盗窃犯罪时空演变及影响因素研究——基于新冠疫情前与疫情期间的对比分析

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-24 DOI: 10.1016/j.ijlcj.2024.100719

Ziwan Zheng , Yucheng He , Xiaomin Jiang , Hequn Wu , Shiyu Sheng

{"title":"Study on the spatiotemporal evolution and influencing factors of theft crimes: A comparative analysis before and during COVID-19","authors":"Ziwan Zheng , Yucheng He , Xiaomin Jiang , Hequn Wu , Shiyu Sheng","doi":"10.1016/j.ijlcj.2024.100719","DOIUrl":"10.1016/j.ijlcj.2024.100719","url":null,"abstract":"<div><div>Focusing on JZ Province, China, the present study employs spatial analysis methods, including kernel density estimation, spatial autocorrelation, and Geodetector to explore the changes in the spatial and temporal patterns of theft crimes before and during COVID-19, as well as the spatial relationships between theft crimes and various factors concerning urban economic conditions and population dynamics. The results show that: (1) The pandemic significantly impacts theft rates, with an overall decrease of 27%. (2) Both before and during the pandemic, city centers and coastal regions experience the highest incidence of theft crimes. Theft crimes are mostly observed in economically prosperous and dynamic urban areas. The COVID-19 restrictions have a strong inhibitory effect on theft occurrences. (3) In both periods, government finances and regional economic conditions demonstrate strong explanatory power for theft crimes. A vibrant urban setting with more elderly and young people is positively correlated with theft activities.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100719"},"PeriodicalIF":1.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using machine learning to conduct crime linking of residential burglary 利用机器学习进行住宅入室盗窃的犯罪关联

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-10 DOI: 10.1016/j.ijlcj.2024.100716

Eric Halford, Ian Gibson

{"title":"Using machine learning to conduct crime linking of residential burglary","authors":"Eric Halford, Ian Gibson","doi":"10.1016/j.ijlcj.2024.100716","DOIUrl":"10.1016/j.ijlcj.2024.100716","url":null,"abstract":"<div><div>Traditional crime linkage methods face challenges with complex datasets, arguably necessitating more sophisticated analytical tools. This research investigates this issue by exploring the application of machine learning, specifically the Random Forest algorithm, as a method to enhance crime linkage analysis of residential burglary cases.</div><div>Using a dataset of 200 pairs of linked residential burglaries from the United Kingdom, this study employs the Random Forest technique to examine 67 identified crime features, including those within categories related to inter-crime distance, temporal patterns, such as time and day of the week, target selection, entry behaviour, crime scene conduct, and property stolen.</div><div>The key objective is to identify and reduce predictive characteristics that reliably link burglaries, whilst potentially overcoming the limitations of conventional approaches. Findings generally support existing literature but provide increased nuance by indicating that certain factors specifically related to shorter inter-crime distances, the time and date of the offences, and the target's dwelling type, significantly contribute to accurately linking crimes. We discuss these findings in the context of existing research on the subject.</div><div>Finally, we consider the benefits of using this novel methodology as a tool for crime linking. We argue that the improved accuracy, interpretability, and provision of multiple decision trees offers significant advantages for refining crime linkage practices, both operationally and in criminological research.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100716"},"PeriodicalIF":1.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prosecutions for female genital mutilation in Swedish courts: Tip of the iceberg or manifestation of epistemic injustice? 瑞典法院对女性生殖器切割的起诉：冰山一角还是认知不公的表现？

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-07 DOI: 10.1016/j.ijlcj.2024.100714

Sara Johnsdotter , Lotta Wendel

引用次数: 0

Leniency for otherwise law-abiding citizens? Testing the lapse theory and sentencing in England and Wales 对守法公民的宽大处理？英格兰和威尔士的过失理论与量刑检验

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-05 DOI: 10.1016/j.ijlcj.2024.100715

Kevin Kwok-yin Cheng , Zachary Bok-hin Chan

引用次数: 0

Introduction and validation of the Modern Adolescent Dating Violence Attitude (MADVA) scale: A contemporary tool for assessing adolescent attitudes towards dating violence in offline and online environments 现代青少年约会暴力态度量表（MADVA）的介绍和验证：评估青少年对线下和线上环境中约会暴力态度的现代工具

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-11-27 DOI: 10.1016/j.ijlcj.2024.100705

Gill Kirkman , Dominic Willmott , Daniel Boduszek , Agata Debowska

引用次数: 0

Corrigendum to: ‘Male Rape Myths: Examining the role of Victim Empathy and Socio-demographics in a cross-sectional sample of UK Adults’ [Int. J. Law, Crime and Justice, 76, 100645] Corrigendum to：男性强奸迷思：在英国成年人横截面样本中考察受害者移情和社会人口统计的作用"[Int. J. Law, Crime and Justice, 76, 100645] 的更正

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-10-28 DOI: 10.1016/j.ijlcj.2024.100704

Dominic Willmott , B. Kennath Widanaralalage

引用次数: 0