JOURNAL ARTICLE

Work Without Workers: Commemoration as Repression in the Construction of Brasilia (1950s–1970s).

  • Published In: Revista Hispánica Moderna (0034-9593), 2024, v. 77, n. 2. P. 239 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Caballero, Miguel 3 of 3

Abstract

The construction of Brasilia (1956-1960) was followed by a gradual process of attempted eviction of the construction workers that had built the city from the ground up. Known as candangos , the construction workers were celebrated as modern workers and simultaneously despised as unable to become modern citizens. They wanted to inhabit the city they had built. However, the government never conceived them as Brasilia's potential inhabitants and ignored their claims to land and city rights. This article explores unexamined archival material and non-fictional literary works from the 1950s-1970s to disentangle soft-power strategies carried out to silence the candangos, while seemingly commemorating their construction feat. Combining theories of developmentalism, monument conservation and defacement, labor, and protest, the article argues that the Brazilian government and private companies ultimately conceived the construction of Brasilia as a utopia of work without workers. It also asserts that Brasilia was a paradigmatic case showing that the history of modern commemoration is inherently linked to the history of modern silencing and repression. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Revista Hispánica Moderna (0034-9593). 2024/12, Vol. 77, Issue 2, p239
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:0034-9593
  • DOI:10.1353/rhm.2024.a945272
  • Accession Number:181863584
  • 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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