JOURNAL ARTICLE

The Murder of a Pawnbroker and the Gentlemen's Duel.

  • Published In: Studies in Latin American Popular Culture, 2024, v. 42. P. 124 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sánchez, Roberto 3 of 3

Abstract

This article takes a microhistorical look at the underside of Afro-Peruvian culture to analyze the cultural and political intersection of plebeian and elite spheres. It examines two sensational crimes involving Afro-Peruvians that captured the zeitgeist of early twentieth-century Lima. The first involves the murder of the wealthiest pawnbroker in Lima at the hands of Apolinario Arzola, an infamous Afro-Peruvian criminal demonized and used by the press and social commentators to reinforce notions of good and evil framed in terms of race. The second crime was a sensationalized duel between two Afro-Peruvians from the traditionally Black neighborhood of Malambo. It captured the popular imagination, as evidenced in newspaper reports and interviews, court records, prison correspondence, songs, and the memories of limeños more than one hundred years after the event. The Peruvian modernization project of the period examined signaled a change in urban codes of honor and deepened the marginalization of the underclass and Afro-Peruvians. The incorporation of their cultural expressions in the areas of the arts, sports, political movements, and other forms of urban popular culture changed the meaning of how creole culture was defined and woven into a formation of a conflicted national identity. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Studies in Latin American Popular Culture. 2024/01, Vol. 42, p124
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:0730-9139
  • DOI:10.7560/slapc4207
  • Accession Number:179258907
  • Copyright Statement:Copyright of Studies in Latin American Popular Culture is the property of University of Texas 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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