JOURNAL ARTICLE
A Fallen Sutpen and a Fallen World: The Concept of the Fall in Absalom, Absalom!
Published In: Mississippi Quarterly, 2024, v. 76, n. 3. P. 303 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Papadimitriou, Stylianos 3 of 3
Abstract
Thomas Sutpen's descent from the mountains in William Faulkner's Absalom, Absalom! (1936), a fall from the mountain paradise to the evils of slaveholding society, has long been considered comparable to the biblical Fall of Man. Surprisingly, however, the social, moral, and political overtones of Sutpen's Fall have been critically overlooked to a certain extent. This article explores Sutpen's descent from the mountains as well as the innocence that informs his design in order to showcase the full extent of Faulkner's metaphor of the Fall. I contend that the examination of Sutpen's Fall from a moral and sociological standpoint establishes an ideologically profound context in which the ethical and socioeconomic implications of Thomas Sutpen's story can be thoroughly investigated. Specifically, the article identifies Sutpen's commitment to his self-interest at the expense of others as his major transgression. For this reason, it maintains that the implications of Sutpen's story transcend the literary boundaries of the novel's nineteenth century timeframe and also comment insightfully on the moral and socioeconomic situation of the Great Depression, the devastating period within which Absalom, Absalom! was authored. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Mississippi Quarterly. 2024/07, Vol. 76, Issue 3, p303
- Document Type:Literary Criticism
- Subject Area:Literature and Writing
- Publication Date:2024
- ISSN:0026-637X
- DOI:10.1353/mss.2024.a936601
- Accession Number:179811682
- Copyright Statement:Copyright of Mississippi Quarterly is the property of Johns Hopkins University 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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