Date: 30 Mar 2022 (Wed)
Time:12:30 – 14:00
Venue: Online via Zoom (Zoom link will be provided after registration.)
Speaker: Ms. GU, Yuxuan Gloria (Mphil. Student, Gender Studies Programme, The Chinese University of Hong Kong)
Moderator: Prof. ZHONG, Hua Sara (Associate Professor, Gender Studies Programme, The Chinese University of Hong Kong)
Abstract:
One of the more important topics in feminist criminology over recent decades has been the impact of varying levels of gender equality on levels of female-victim intimate partner homicide (FV-IPH). The current state of the literature is equivocal. This study proposes a theoretical account that integrates the traditional ameliorative and backlash theses and offers a possible explanation for some of the inconsistent findings. Specifically, the findings illustrate that: 1) the backlash processes are likely to dominate at lower to higher levels of the instrumental dimensions of gender equality; 2) the relationship between the cultural dimension of gender equality and levels of FV-IPH conforms to an inverted U, such that a backlash effect operates in the short-term but is followed by an ameliorative effect in the longer term. Moreover, due to the constraints of homicide data, historically, FV-IPH research in China is relatively scarce. By leveraging detailed information on 11310 homicide cases (using an innovative source of big data–sentencing documents retrieved from the “China Judgements Online” website), this study is a pioneering one that analyzing FV-IPH in mainland China, and presents researchers with an effective method of utilizing text-mining techniques and hierarchical models which explore the integration of structural gender equality and incidental level characteristics.
Speaker’s Biography:
GU Yuxuan Gloria is a year-2 MPhil student in Gender Studies Programme and the Department of Sociology at CUHK. Her research interests include gender-specific violence, crime and deviance, and computational social science. Her MPhil project aims to analyze female-victim intimate partner homicide in mainland China using big data and text-mining techniques.
Language: English
Registration: https://cloud.itsc.cuhk.edu.hk/webform/view.php?id=13646273
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