Silence in the Archives: France, the Algerian War, and National Identity.

  • Published In: Archivaria, 2025, n. 99. P. 6 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hirschler, Maia S. 3 of 3

Abstract

In 2021, French President Emmanuel Macron announced that the French government would make classified archives about the Algerian War accessible 15 years ahead of schedule, in an effort to improve Franco-Algerian relations. The announcement, which came after decades of requests that the archives be returned to Algeria, seemed to be a good-faith effort to address France's difficult heritage with respect to the Algerian War (1954-1962) -- particularly the widespread use of torture and the "disappearing" of dissidents during the war. The Algerian War has always occupied a contentious place in French history, having been largely left out of history textbooks and referred to as a war only after 1999. By opening the archives ahead of schedule, Macron seemed to commit the French government to healing generational wounds and improving relations with Algeria. The declassification of Algerian archives led the status of the Algerian War and, as a result, that of Algerian immigrants in contemporary France, to become major talking points for candidates on the right and on the left during the 2022 presidential election. While the opening of the archives appears to have done away with the archival silence that has shrouded the history of the war, this article will argue that France and its political actors have selectively lifted archival silence to privilege certain narratives and continue to silence others. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Archivaria. 2025/03, Issue 99, p6
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2025
  • ISSN:0318-6954
  • DOI:10.7202/1118508ar
  • Accession Number:185815969
  • Copyright Statement:Copyright of Archivaria is the property of Association of Canadian Archivists 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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