JOURNAL ARTICLE
Falling Houses: Linden Hills and Poe's Legacy in Black Women's Speculative Fiction.
Published In: Poe Studies: History, Theory, Interpretation, 2023, v. 56. P. 102 1 of 3
Database: Humanities Source Ultimate 2 of 3
Authored By: Sherrard-Johnson, Cherene 3 of 3
Abstract
This article examines Gloria Naylor's Linden Hills (1986) as an intertextual response to Edgar Allan Poe's sinister aesthetic and gothicism that anticipates innovations in late-twentieth-century Black women's speculative fiction and horror. Naylor explores the corrosive side effects of Black capitalism and assimilation while simultaneously illustrating the conflicting desires and patriarchal aspirations embedded within Black nationalist rhetoric. Poe's gothic interiors and narrative perspective provide a template for how Naylor's chapters work as cautionary tales about the obsessive and accumulative qualities of American individualism. Reading Naylor's depiction of the Nedeed home that is at the center of the Dantesque planned community of Linden Hills through "The Fall of the House of Usher" (1839) also illuminates the influence of earlier authors, like Pauline Elizabeth Hop-kins and Ann Petry, in shaping the African American gothic tradition. The concluding section focuses on Tananarive Due's deployment of the falling house trope in The Good House (2004), a novel that reckons with residual trauma resulting from the palimpsestic nature of racial violence and settler colonialism. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Poe Studies: History, Theory, Interpretation. 2023/01, Vol. 56, p102
- Document Type:Article
- Subject Area:History
- Publication Date:2023
- ISSN:19474644
- DOI:10.1353/poe.2023.a909584
- Accession Number:173821308
- Copyright Statement:Copyright of Poe Studies: History, Theory, Interpretation 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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