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Predicting support for fine penalty replacing imprisonment: Crime type, the severity of crime, situational factors and demographic characteristics: A factorial survey approach 预测对罚金替代监禁的支持:犯罪类型、犯罪严重程度、情境因素和人口特征:一个析因调查方法
IF 1 4区 社会学 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-28 DOI: 10.1016/j.ijlcj.2024.100717
Yuxi Shang , Dehao Xue , Jinli Zhang
We aimed to examine the contribution of crime type, the severity of crime, and situational factors to predict the perception of fine penalty replacing imprisonment. We used snowball sampling method to find 451 respondents from China participated in eight crime scenarios. The results of the chi-square test and multiple logistic regression analysis showed the following. (1) “The public's attitude toward fine penalty instead of imprisonment” was related to crime type, severity, situational case factors, the respondent's Hukou (Household registration), and educational background. (2) Many respondents supported independent application of fine penalty to less serious violent crimes. (3) The respondents with rural Hukou or without legal education backgrounds preferred fine penalty to imprisonment.
本文旨在探讨犯罪类型、犯罪严重程度和情境因素对预测罚金替代监禁感知的贡献。我们采用滚雪球抽样的方法,找到451名来自中国的受访者参与了8个犯罪场景。卡方检验和多元logistic回归分析结果如下:(1)公众对“以罚代监”的态度与犯罪类型、严重程度、案件情境因素、被调查者户口、学历等因素有关。(2)许多被访者支持对较轻的暴力犯罪单独适用罚金。(3)有农村户口或没有法律教育背景的被访者更倾向于罚款而不是监禁。
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引用次数: 0
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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-28 DOI: 10.1016/j.ijlcj.2024.100720
Victoria Gambetta, Sofía Vanoli-Imperiale
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.
本研究探讨了乌拉圭蒙得维的亚亲密伴侣暴力(IPV)案件中保护令(PO)违反的风险因素,这一主题尚未在拉丁美洲进行调查。使用1057例警方报告的IPV病例样本,逻辑回归比较文献支持的风险因素与公共政策中用于预测妇女IPV再次受害的风险因素。结果显示,26%的违法者违反了法律,主要是通过骚扰(82%)和心理暴力(46%),警察的监督使违法者的再犯风险降低了48.5%。此外,他们强调受害者(OR = 1.85)和犯罪者(OR = 1.89)的IPV轨迹是再滥用的最强预测因子。这些研究结果表明,乌拉圭的政策制定者应该重新考虑警察对IPV的干预和公共行动,重点关注两项关键行动:增加对数据收集和分析的投资,以改善PO监测和警察反应,并制定除刑事制裁之外的战略,以解决罪犯治疗和受害者支持问题,以防止IPV再次滥用。
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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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-26 DOI: 10.1016/j.ijlcj.2024.100722
Sohee Kim , Sungil Han , Melanie-Angela Neuilly
This study examines the effects of women's absolute status, relative status, and patriarchal culture on women's victimization within and across nations. The study uses a multilevel mixed-effects model on the World Value Survey Wave 7 dataset. At the individual level, results show that women with higher financial status (absolute status) are victimized at lower rates. Women are also more likely to be victimized based on relative status, such as being the main wage earner, thus supporting the Backlash hypothesis. Additionally, women engaging in more social activities, which aligns with the opportunity perspective, show a higher risk of victimization. At the country level, women's relative status is significant, as is the positive association between patriarchal culture and women's victimization, supporting the Backlash hypothesis again. Overall, the findings suggest the need for the utilization of appropriate methodological and theoretical approaches to examine women's victimization.
本研究考察了女性的绝对地位、相对地位和父权文化对女性受害的影响。该研究在世界价值调查第7波数据集上使用了多层次混合效应模型。在个人一级,结果表明,经济地位较高(绝对地位)的妇女受害率较低。女性也更有可能成为基于相对地位的受害者,比如作为主要的工资收入者,从而支持了“反弹假说”。此外,女性参与更多的社会活动,这与机会的观点一致,显示出更高的受害风险。在国家一级,妇女的相对地位是重要的,父权文化与妇女受害之间的积极联系也是重要的,再次支持了反弹假说。总的来说,调查结果表明需要利用适当的方法和理论方法来审查妇女受害的情况。
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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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-25 DOI: 10.1016/j.ijlcj.2024.100723
Ingrid Steen Rostad , Eva Langvik
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.
检察官在工作中经常接触到针对儿童的犯罪的令人痛苦的描述。再加上其他压力因素,如工作量大、期限短,处理虐待儿童案件的检察官面临心理健康不佳的风险。我们的目的是探索在虐待儿童案件中担任主要审讯人员的检察官的经验,并确定他们最突出的挑战和资源。我们对挪威一个警区的六名检察官进行了半结构化的采访,他们都是专门处理虐待儿童案件的。一项专题分析指出,工作量和负责调查但没有任何分配资源的权力是主要的压力源。此外,案件的性质增加了压力,检察官被排除在例行汇报之外。此外,他们从管理层得到的认可和理解很少,而且学院的支持很少。检察官称,调查虐待儿童案件的复杂性和挑战性是非常激励和有意义的。
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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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-24 DOI: 10.1016/j.ijlcj.2024.100724
Zengli Wang , Jingjing Li , Xiaohan Yang
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.
本研究考察了司法文件网站(JDW)公开访问的犯罪数据与限制访问的警方记录数据在空间盗窃模式上的差异及其与社会环境特征的关系。我们比较了街道层面入室盗窃事件的空间分布,并应用负二项回归分析了两个数据集之间入室盗窃率与社会环境因素之间关系的差异。JDW的数据约占警方记录在案的入室盗窃案件的10%。与警方记录相比,JDW数据质量对空间格局、热点分布以及入室盗窃分布与解释变量之间的关系的影响最小。我们的研究结果强调,犯罪数据质量在揭示犯罪的空间模式及其与社会环境特征的关联方面发挥着重要作用。此外,本研究还有助于在唯一的选择下使用JDW数据进行犯罪学研究。
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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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-24 DOI: 10.1016/j.ijlcj.2024.100719
Ziwan Zheng , Yucheng He , Xiaomin Jiang , Hequn Wu , Shiyu Sheng
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.
本研究以中国JZ省为研究对象,采用核密度估计、空间自相关、地理探测器等空间分析方法,探讨新型冠状病毒肺炎疫情发生前后盗窃犯罪的时空格局变化,以及盗窃犯罪与城市经济条件、人口动态等各因素之间的空间关系。结果表明:(1)疫情显著影响盗窃率,总体下降27%。(2)疫情前和疫情期间,城市中心和沿海地区的盗窃犯罪发生率最高。盗窃犯罪主要发生在经济繁荣和充满活力的城市地区。新冠肺炎限制措施对盗窃行为有很强的抑制作用。(3)在这两个时期,政府财政和地区经济条件对盗窃犯罪都有很强的解释力。一个有更多老年人和年轻人的充满活力的城市环境与盗窃活动呈正相关。
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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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-10 DOI: 10.1016/j.ijlcj.2024.100716
Eric Halford, Ian Gibson
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.
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.
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.
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.
传统的犯罪联系方法面临着复杂数据集的挑战,可以说需要更复杂的分析工具。本研究通过探索机器学习,特别是随机森林算法的应用,作为一种增强住宅入室盗窃案件犯罪关联分析的方法来研究这一问题。本研究使用来自英国的200对相关住宅盗窃案的数据集,采用随机森林技术来检查67个已确定的犯罪特征,包括与犯罪间距离、时间模式(如一周中的时间和日期)、目标选择、进入行为、犯罪现场行为和财产被盗相关的类别。关键目标是识别和减少可靠连接盗窃的预测特征,同时潜在地克服传统方法的局限性。研究结果总体上支持现有文献,但提供了更多的细微差别,表明某些特定因素与较短的犯罪间距离、犯罪的时间和日期以及目标的居住类型有关,这些因素显著有助于准确地将犯罪联系起来。我们在现有研究的背景下讨论这些发现。最后,我们考虑使用这种新方法作为犯罪联系工具的好处。我们认为,提高准确性、可解释性和提供多决策树为改进犯罪联系实践提供了显著的优势,无论是在操作上还是在犯罪学研究中。
{"title":"Using machine learning to conduct crime linking of residential burglary","authors":"Eric Halford,&nbsp;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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-07 DOI: 10.1016/j.ijlcj.2024.100714
Sara Johnsdotter , Lotta Wendel
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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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-12-05 DOI: 10.1016/j.ijlcj.2024.100715
Kevin Kwok-yin Cheng , Zachary Bok-hin Chan
Scholars have argued that otherwise law-abiding citizens who have “lapsed” and committed a crime deserve leniency. This is referred to as the lapse theory. The discussions, however, have mainly focused on the lack of previous criminal convictions. The purpose of this study is to expand on the lapse theory by testing the effects of other lapse-based factors besides criminal record on sentence outcomes. Drawing on sentencing decisions in England and Wales, lapse-based factors, namely the crime being an isolated incident, the defendant acting out of character, and first-time offenders, were found to have a mitigating effect on sentence outcomes on two types of offenses: assault and drug dealing. When culpability was controlled for, these factors still had a mitigating effect for defendants who had premeditated their assaults and drug dealers who were deemed to play a significant role. The implications for sentencing guidelines and future studies are also discussed.
学者们认为,在其他方面遵纪守法的公民如果犯了“过失”罪,应该得到宽大处理。这就是所谓的失效理论。然而,讨论主要集中在缺乏前科的问题上。本研究的目的是通过检验犯罪记录以外的其他基于过失的因素对判决结果的影响来扩展过失理论。根据英格兰和威尔士的量刑决定,过失因素,即犯罪是一个孤立事件,被告的行为与性格不相符,以及初犯,被发现对两类犯罪的判决结果有减轻作用:袭击和毒品交易。在罪责得到控制的情况下,这些因素对预谋攻击的被告和被认为发挥重要作用的毒贩仍然有减轻影响的作用。本文还讨论了对量刑准则和未来研究的影响。
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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 Q3 CRIMINOLOGY & PENOLOGY Pub Date : 2024-11-27 DOI: 10.1016/j.ijlcj.2024.100705
Gill Kirkman , Dominic Willmott , Daniel Boduszek , Agata Debowska
The study developed and validated the Modern Adolescent Dating Violence Attitude (MADVA) scale, examining young people's attitudes towards online and offline variants of adolescent dating violence and abuse (ADVA). Data were collected among 2011 adolescents from England, aged 10–25 (M 15.72 years). Dimensionality and construct validity of the MADVA was investigated using traditional Confirmatory Factor Analysis. Results indicate a six-factor model (Attitudes towards: Sexual Abuse-Online; Sexual Abuse-Offline; Psychological Abuse-Online; Psychological Abuse-Offline; Physical Abuse-Offline; Controlling Behaviour-Offline). Excellent composite reliability and differential predictive validity were observed for all six subscales. The MADVA scale enables users to better evaluate ADVA prevention-programmes.
该研究开发并验证了现代青少年约会暴力态度量表(MADVA),考察了青少年对线上和线下青少年约会暴力和虐待(ADVA)变体的态度。数据收集对象为英格兰的 2011 名青少年,年龄为 10-25 岁(男 15.72 岁)。我们使用传统的确认性因子分析方法对 MADVA 的维度和构建有效性进行了研究。结果表明,MADVA 有六个因子模型(对以下行为的态度:性虐待-在线;性虐待-在线;性虐待-在线;性虐待-在线):性虐待-在线;性虐待-离线;心理虐待-在线;心理虐待-离线;身体虐待-离线;控制行为-离线)。所有六个分量表都具有出色的综合信度和差异预测效度。MADVA 量表使用户能够更好地评估 ADVA 预防计划。
{"title":"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","authors":"Gill Kirkman ,&nbsp;Dominic Willmott ,&nbsp;Daniel Boduszek ,&nbsp;Agata Debowska","doi":"10.1016/j.ijlcj.2024.100705","DOIUrl":"10.1016/j.ijlcj.2024.100705","url":null,"abstract":"<div><div>The study developed and validated the Modern Adolescent Dating Violence Attitude (MADVA) scale, examining young people's attitudes towards online and offline variants of adolescent dating violence and abuse (ADVA). Data were collected among 2011 adolescents from England, aged 10–25 (<em>M</em> 15.72 years). Dimensionality and construct validity of the MADVA was investigated using traditional Confirmatory Factor Analysis. Results indicate a six-factor model (Attitudes towards: Sexual Abuse-Online; Sexual Abuse-Offline; Psychological Abuse-Online; Psychological Abuse-Offline; Physical Abuse-Offline; Controlling Behaviour-Offline). Excellent composite reliability and differential predictive validity were observed for all six subscales. The MADVA scale enables users to better evaluate ADVA prevention-programmes.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100705"},"PeriodicalIF":1.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722275","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
期刊
International Journal of Law Crime and Justice
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