Why It Matters That Richard Lionheart Was Queer.
Published In: Journal of the History of Sexuality, 2024, v. 33, n. 3. P. 340 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Burgwinkle, William 3 of 3
Abstract
This article examines the historical bias and denial surrounding the sexuality of Richard I, also known as Richard Lionheart. The author criticizes the heteronormative perspective prevalent in historical writing and calls for a more truthful approach to interpreting history. The article draws parallels between Richard's story and the recent media coverage of Colton Underwood, highlighting the similarities in celebrity status, gender, sexuality, and public perception. The author argues that medieval chroniclers' accounts of Richard's character and sexual behavior should be taken seriously and incorporated into scholarship, challenging the dismissive attitudes of some modern historians. The article emphasizes the need for a broader understanding of language, metaphor, and coded references in historical documents to recognize alternative ways of being in the past. The author concludes that Richard's sexuality is of interest because he was a public figure and a complex individual, and suggests that the term "queer" is a more appropriate descriptor for him. The article highlights the importance of considering diverse perspectives and challenging historical biases in order to achieve a more accurate understanding of the past. [Extracted from the article]
Additional Information
- Source:Journal of the History of Sexuality. 2024/09, Vol. 33, Issue 3, p340
- Document Type:Article
- Subject Area:Communication and Mass Media
- Publication Date:2024
- ISSN:1043-4070
- DOI:10.7560/jhs33302
- Accession Number:180109405
- Copyright Statement:Copyright of Journal of the History of Sexuality is the property of University of Texas Press 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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