JOURNAL ARTICLE
To Take the Wrong Road Is to Arrive at Woman: Towards an Ecofeminist Reading of Garcia Lorca's Theater.
Published In: Hispanófila, 2024, v. 202. P. 101 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: S.S.J., Cecelia J. Cavanaugh 3 of 3
Abstract
In this article, I discuss Federico García Lorca's sympathetic portrayal of female protagonists in his plays, as well as his exposure to scientific principles, and his incorporation of science into some of his texts. I explore the potential for considering two of his plays by examining their female protagonists and their environments from the perspective of environmental niche studies, evolutionary biology, and ecofeminism.This includes viewing Lorca through foundational scientific texts familiar to him, as well as popular science texts contemporary to today's readers. All provide lenses for a reading of Yerma (1934), Doña Rosita la soltera (1935), and the protagonists for which the plays are named.The consideration of Lorca through an ecofeminist lens is based on Lorca's deep roots in the vega , his love of Nature, his formative experiences in the Residencia de Estudiantes , his interest in science, his associations with woman in rural, traditional settings, and his understanding of humanity's interaction with Nature–filtering all through his extraordinary empathy and capacity for artistic transformation. This preliminary reading will suggest a new approach to several of Lorca´s poetic, dramatic and plastic texts. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Hispanófila. 2024/09, Vol. 202, p101
- Document Type:Article
- Subject Area:Drama and Theater Arts
- Publication Date:2024
- ISSN:0018-2206
- DOI:10.1353/hsf.2024.a949644
- Accession Number:182534963
- Copyright Statement:Copyright of Hispanófila is the property of University of North Carolina 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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