JOURNAL ARTICLE

Taboo in world cinema: Female protagonists within incestuous relationships.

  • Published In: Technoetic Arts: A Journal of Speculative Research, 2023, v. 21, n. 2. P. 211 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Klimatsaki, Styliani Anna; Honorato, Dalila 3 of 3

Abstract

This article analyzes the cinematic representation of female protagonists involved in incestuous relationships in three films—*Savage Grace*, *Precious*, and *Strella/A Woman's Way*—focusing on how race, gender, social status, and family dynamics shape these portrayals. It highlights that while incest is a profound social taboo, contemporary cinema increasingly depicts female-initiated incestuous desire alongside male-perpetrated abuse, challenging traditional victim-perpetrator roles and patriarchal narratives. The films illustrate diverse socio-economic and racial contexts—from wealthy White elites to impoverished Black families and marginalized transgender communities—revealing how social hierarchies and stereotypes influence the characters' experiences and societal responses. Notably, *Strella* uniquely portrays a transgender woman's incestuous relationship with her father that transitions into a reconciled familial bond, contrasting with the punitive or tragic outcomes in the other films. Overall, the article suggests that these cinematic depictions reflect evolving gender dynamics and social complexities surrounding incest, moving beyond simplistic portrayals of female passivity to acknowledge varied motivations such as retaliation, loneliness, and the quest for love or power.

Additional Information

  • Source:Technoetic Arts: A Journal of Speculative Research. 2023/10, Vol. 21, Issue 2, p211
  • Document Type:Article
  • Subject Area:Religion and Philosophy
  • Publication Date:2023
  • ISSN:1477-965X
  • DOI:10.1386/tear_00111_1
  • Accession Number:175008927
  • Copyright Statement:Copyright of Technoetic Arts: A Journal of Speculative Research is the property of Intellect Ltd. 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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