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Challenging Abstraction: Unruly Statistics and the State in Progress.

  • Published In: American Historical Review, 2025, v. 130, n. 1. P. 80 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lurtz, Casey Marina 3 of 3

Abstract

Working with never-published agricultural data collected for Mexico's pavilion at the 1900 Paris Exposition, this article argues that manuscript and published statistics represent a space to see state making as a multisided, ongoing process. Whereas historians have largely looked at statistics from the perspective of the state, highlighting bureaucrats' projections of desired realities and political projects, here I show how local enumerators' investment in statistical undertakings asserted space for conversations and arguments about the nature and composition of the political or economic whole being represented. I present a methodology for working with historical statistics that takes aberrations, anomalies, and unruly data as signposts to be followed rather than errors to be corrected. In doing so, I argue for seeing not only the frustrated yet durable aspirations of statesmen but also the ways those beyond the central state reforged, reinforced, and remade representations of their homes through engagement with and investment in statistical practices. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:American Historical Review. 2025/03, Vol. 130, Issue 1, p80
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:0002-8762
  • DOI:10.1093/ahr/rhae476
  • Accession Number:184405326
  • Copyright Statement:Copyright of American Historical Review is the property of Oxford University Press / USA 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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