“Sorting Things out”: A Scoping Review of Sexual Homicide Typologies

IF 1.3 3区 社会学 Q2 LAW Behavioral Sciences & the Law Pub Date : 2025-03-24 DOI:10.1002/bsl.2722
Eric Beauregard, Julien Chopin
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Abstract

Sexual homicides are complex crimes that have been the focus of numerous classification systems aimed at aiding investigations, understanding offender behavior, and informing treatment plans. Over the past 25 years, a variety of typologies have been developed to categorize these offenses. This scoping review examines these typologies, exploring their evolution and the key offender, victim, and crime characteristics used to define them. The review identifies 19 empirical typologies from Canada, France, the UK, South Africa, and other regions, most of which are based on police and offender data. Typologies typically include categories such as “sadistic” and “anger-driven” homicides, though the number of types varies across studies. Moreover, the review highlights gaps in current research, such as limited sample sizes and the need for more diverse cultural perspectives. Recommendations are made for developing a more comprehensive and validated typology that incorporates broader data sources and modern methodologies, such as machine learning techniques, to enhance profiling, investigation, and prevention efforts.

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“整理事情”:性杀人类型学的范围审查。
性凶杀是一种复杂的犯罪,一直是众多分类系统的研究重点,这些系统旨在协助调查、了解罪犯行为并为治疗计划提供信息。在过去的 25 年中,已经开发了多种类型学来对这些罪行进行分类。这篇范围综述对这些类型学进行了研究,探讨了它们的演变过程,以及用于定义这些类型学的主要罪犯、受害者和犯罪特征。综述确定了来自加拿大、法国、英国、南非和其他地区的 19 种实证类型学,其中大部分是基于警方和罪犯的数据。类型学通常包括 "虐待狂 "和 "愤怒驱动 "杀人等类别,但不同研究的类型数量各不相同。此外,综述还强调了当前研究中存在的不足,如样本量有限以及需要更多样化的文化视角。综述建议开发一种更全面、更有效的类型学,将更广泛的数据来源和现代方法(如机器学习技术)纳入其中,以加强特征分析、调查和预防工作。
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来源期刊
CiteScore
2.50
自引率
7.10%
发文量
50
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