JOURNAL ARTICLE

The Literature of Cacao: Jorge Amado's Gabriela, Clove and Cinnamon.

  • Published In: Ariel: A Review of International English Literature, 2023, v. 54, n. 3/4. P. 127 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Scott, Bede 3 of 3

Abstract

Situated at the intersection of postcolonial studies and affect studies, this essay explores the emotional and generic significance of capitalist modernity in Jorge Amado's Gabriela, Clove and Cinnamon (1958). Amado's novel is set in the provincial city of Ilhéus at the time of the First Republic (1889–1930), a particularly volatile period of Brazilian history that witnessed the decline of the regional oligarchies and the rise of the urban bourgeoisie. By combining these two different critical perspectives, I argue, we can understand why Mundinho Falcão, a wealthy investor from Rio, should find it necessary to establish a new emotional regime in Ilhéus, one that privileges capitalist rationality over the hyperbolic feelings associated with the existing feudalistic order. Moreover, as the novel progresses, it becomes clear that this transition at the level of story, whereby one dominant structure of feeling makes way for another, creates a corresponding disturbance at the level of discourse or genre—transforming a narrative of melodramatic antipathies and rivalries into one of bourgeois complicity and compromise. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Ariel: A Review of International English Literature. 2023/07, Vol. 54, Issue 3/4, p127
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:0004-1327
  • DOI:10.1353/ari.2023.a905712
  • Accession Number:171875277
  • Copyright Statement:Copyright of Ariel: A Review of International English Literature 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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