JOURNAL ARTICLE

A rereading of Caryl Churchill's Owners: Patriarchy and misogyny.

  • Published In: Orbis Litterarum, 2023, v. 78, n. 4. P. 304 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Baştan, Ajda 3 of 3

Abstract

Caryl Churchill's first professional play, Owners, is about ownership as its title implies. One of the highlighted themes in the play is misogyny which has been overlooked by scholars and critics who have commented on Owners. Thus, my aim in this study is to consider and disclose the reasons for misogyny, demonstrated by Churchill as a socio‐political critique, through a feminist reading. As the play is generally examined within the context of themes of power, politics or possession, this article may contribute to correct this omission in the academic domain. In her dark comedy, Churchill emphasises how gender roles are culturally learned and transferred to succeeding generations. In Owners, the married couple Marion and Clegg are both misogynists, but endowed with opposing world views. Churchill, like a sociologist, has made this family the main subject of her play and used it as a point of reference when explaining the reasons for misogyny in a comic and exaggerated style. In this family, while Marion is equipped with bourgeois feminist and anti‐patriarchal ideas, Clegg is a man supporting patriarchal principles. Churchill reveals in her play that Marion and Clegg hate women who do not fit into their ideal world views. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Orbis Litterarum. 2023/08, Vol. 78, Issue 4, p304
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:0105-7510
  • DOI:10.1111/oli.12371
  • Accession Number:164936309
  • Copyright Statement:Copyright of Orbis Litterarum is the property of Wiley-Blackwell 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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