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The Maternal Complaint: Writing about the Reproduction of Life (and Death) in Katixa Agirre's Las madres no.

  • Published In: Revista Hispánica Moderna (0034-9593), 2025, v. 78, n. 2. P. 152 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Carosi, Marcelo 3 of 3

Abstract

This article analyzes Katixa Agirre's Las madres no through the lens of Lauren Berlant's concept of the female complaint to explore how the novel challenges dominant narratives surrounding motherhood. By tracing the story of a writer investigating a case of infanticide while navigating her own experience of new motherhood, the novel interrogates the intersections between maternal labor, artistic production, and institutional power. The dual narrative structure—combining the stories of the accused mother and the narrator—reveals how maternal experiences are shaped by legal, medical, and media discourses. The novel resists simplistic categorizations of "good" or "bad" mothers, instead presenting motherhood as a site of social contradiction, surveillance, and contested representation. Drawing on feminist theory and contemporary debates on care, reciprocity, and maternal labor, this article argues that Las madres no constructs a feminist poetics that redefines the boundaries of literature, maternity, and public discourse. In doing so, the novel expands the literary possibilities for narrating the unspeakable aspects of maternal life. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Revista Hispánica Moderna (0034-9593). 2025/12, Vol. 78, Issue 2, p152
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2025
  • ISSN:0034-9593
  • DOI:10.1353/rhm.2025.a976985
  • Accession Number:190403696
  • Copyright Statement:Copyright of Revista Hispánica Moderna (0034-9593) is the property of University of Pennsylvania 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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