JOURNAL ARTICLE
Gender, Body Politics and Sexual Morality in Three Late Ming Homoerotic Stories.
Published In: JOSAH: Journal of the Society for Asian Humanities, 2023, v. 54. P. 29 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ying-hsiu Lu 3 of 3
Abstract
This article examines 'Qinglie ji' ... (A Story of Sacrificing Love), 'Qingqi ji' ... (A Story of Extraordinary Love) and 'Yueji' ... (The Moon) written by the author known as Zui xihu xinyue zhuren ... (Moon-heart Master of the Drunken West Lake) in the seventeenth century. The analysis considers how the physical body of the passive partner is exploited as both emotional and moral sites in which gender norms and orthodox sexual morality are upheld. I use the yin-yang ... paradigms, as conceptualised by Confucianised and traditional Chinese medical discourses, as my analytical tools to examine gender representation in these three stories. My study aims to illuminate the convergence of these two theories, both of which drive a conservative literary discourse on the morality of homoeroticism in late imperial China. The discussion shows that the representation of homoeroticism in these three stories duplicates the binary perception of gender and sexuality that is typical of a patriarchal society by revealing a predominance of the Confucianised yin-yang order over the traditional Chinese medical theory of bodily gender. In this way, same-sex desire is regulated and homoerotic pleasure is contained within social boundaries and a moral system. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:JOSAH: Journal of the Society for Asian Humanities. 2023/01, Vol. 54, p29
- Document Type:Article
- Subject Area:Women's Studies and Feminism
- Publication Date:2023
- ISSN:2653-0848
- Accession Number:175598771
- Copyright Statement:Copyright of JOSAH: Journal of the Society for Asian Humanities is the property of Australian Society for Asian Humanities (ASAH) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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