JOURNAL ARTICLE

Collective Biography and Micro-periodization: A Data-Rich Analysis of Recent Lives in the Dictionary of National Biography (1885–1901).

  • Published In: Biography: An Interdisciplinary Quarterly, 2023, v. 46, n. 3. P. 601 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kingstone, Helen 3 of 3

Abstract

Collective biography contributes to processes of periodization. The article examines how Victorians periodized their own era, through a corpus linguistic analysis of the Dictionary of National Biography (1885–1901). This apparently monumental British imperial project was disproportionately populated by very recent lives, which threatened the demarcation of past from present. Corpus stylistic analysis is used to identify trends among the 8,000 DNB entries on people who had died since 1850, and concepts from memory studies show how DNB contributors transitioned those lives from informal "communicative" memory into monumental "cultural" memory. Contributors sometimes presented themselves as contemporaries of the recent lives they represented, and sometimes as generationally distinct. The article focuses on four evaluative terms they deployed: "modern," "will always," "permanent value," and "generation," which contributors used as a form of micro-periodization to demarcate their subjects' achievements and values from their own. "Micro-periodization" may artificially enable biographers to claim the measure of hindsight necessary to narrate recent lives. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Biography: An Interdisciplinary Quarterly. 2023/07, Vol. 46, Issue 3, p601
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0162-4962
  • DOI:10.1353/bio.2023.a936504
  • Accession Number:179773516
  • Copyright Statement:Copyright of Biography: An Interdisciplinary Quarterly is the property of University of Hawai'i 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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