JOURNAL ARTICLE
The Intertwined Trajectory between Gender and Psychic Anxiety in Chimamanda Ngozi Adichie's Americanah.
Published In: Misan Journal of Academic Studies, 2024, v. 23, n. 52. P. 82 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Mhodar, Tahseen Ali; Abdulhasan, Hayder Ali 3 of 3
Abstract
This paper examines the intersection between gender and the physic aspects of anxiety in Chimamanda Ngozi Adichie’s Americanah (2013). The study focuses on how Adichie looks into gender through psychological perspectives. The main argument of the study will be the interpretation of gender as an impasse negatively affecting the novel’s female protagonist’s psyche. Ifemelu, who is the chief protagonist, embodies Adichie’s concern with creating an optimal view of women on the brink of psychological retardation due to two interrelated problems. The first problem gender severe prejudice engulfing women’s social relations. The second problem is women’s development of psychic anxiety as a result of the gender bias. Therefore, the study’s objective is to explore gender discriminations as the primary cause of protagonist’s psychic anxiety. The methodology for analyzing the relationship between gender and anxiety will be qualitative. It follows a textual analysis of the major female protagonist as well as the novel’s setting which plays a crucial role in identifying the accumulative formation of the protagonist’s anxiety. Thus, the study’s finding will be limited to the exploration of gender discrimination as an impetus to the formation of human anxiety. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Misan Journal of Academic Studies. 2024/12, Vol. 23, Issue 52, p82
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2024
- ISSN:1994-697X
- DOI:10.54633/2333-023-052-007
- Accession Number:182170067
- Copyright Statement:Copyright of Misan Journal of Academic Studies is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 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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