Identifying femicide using the United Nations statistical framework: Exploring the feasibility of sex/gender-related motives and indicators to inform prevention

Author:

Dawson Myrna1ORCID,Angus Haleakala2,Zecha Angelika2

Affiliation:

1. Centre for the Study of Social and Legal Responses to Violence and the Department of Sociology & Anthropology, University of Guelph, Canada

2. Centre for the Study of Social and Legal Responses to Violence, University of Guelph, Canada

Abstract

According to the United Nations Office on Drugs and Crime, 55% of women and girls killed in 2022 died at the hands of intimate partners or family members, contexts indicative of femicide. The proportion of the remaining 45% of women and girls killed which involved sex or gender-related elements remains largely unknown. This is due to the lack of high-quality, gender-sensitive data collection tools and the few systematic efforts to more consistently and accurately document femicide. Information about femicide in marginalized and racialized communities is further affected because many of these deaths remain invisible in official data for women and girls who live – and die – at the intersections of race, poverty, ability, sexuality, and other social identities. Drawing from a recently released international statistical framework for measuring gender-related killings of women and girls, this article examines the presence of sex/gender-related motives and indicators in a Canadian sample, drawing data from publicly available information. Findings about the feasibility of documenting sex/gender-related motives and indicators generally and for specific groups of women and girls are discussed.

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3