JOURNAL ARTICLE
Pillars of Salt and The Bride of Amman: Addressing the Particularity of Incest in Jordan in Light of Feminist Literary Theory.
Published In: International Journal of Literary Humanities, 2024, v. 22, n. 1. P. 159 1 of 3
Database: Humanities Source Ultimate 2 of 3
Authored By: Almomani, Islam; Atiyat, Reem; Awamleh, Worud; Nsour, Taiseer 3 of 3
Abstract
This article aims at providing a culturally specific investigation of father-daughter incest through the lens of feminist psychoanalysis in literary studies. The article is therefore focused on two novels: Pillars of Salt and The Bride of Amman. The main contribution in this article is to shed light on the cultural particularities present in Jordanian literary studies pertaining to escaping or terminating father-daughter incestuous relationships. These cultural variations are examined with respect to parental assistance and institutional assistance. This article is thus based on the exploration of two central research questions: "what is the role played by parents in assisting a victim of father-daughter incest in Amman to stop her abusive experience?" and "what is the role of official institutions in aiding a victim of father-daughter incest in Amman to prevent the continuation of her abusive experience?" A primary concern to the researcher in this article is to voice the "particularity" of the victims' struggle and endeavors to escape the seemingly endless recurrence of incest. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Literary Humanities. 2024/03, Vol. 22, Issue 1, p159
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2024
- ISSN:23277912
- DOI:10.18848/2327-7912/CGP/v22i01/159-171
- Accession Number:175889321
- Copyright Statement:Copyright of International Journal of Literary Humanities is the property of Common Ground Research Networks 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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