JOURNAL ARTICLE

The Natural and the Supernatural in Book 1 of Paul the Deacon’s Historia Langobardorum and Their Impact upon Lombard Identity Formation.

  • Published In: Journal of the Australian Early Medieval Association, 2024, v. 20, n. 2. P. 149 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Dunn, Geoffrey D. 3 of 3

Abstract

In book 1 of his Historia Langobardorum, composed late in the eighth century, Paul the Deacon, a Benedictine monk then at Monte Cassino, explained the origins and migrations of the Lombards, whose history from the sixth to the eighth centuries he narrated, in terms of the impact of both the natural and supernatural worlds. Beginning by locating this text within the contemporary historiographical debate over ethnogenesis, which has impacted evaluation of Paul’s purposes in writing, this essay argues that Paul had a particular interest not simply in charting the origins and migrations of the Lombards in imitation of accounts of the origins of other barbarian peoples, but more specifically in seeing Lombard success in Italy as the product of the advantages they received from climatic influences in their place of origin. This contrasts with the comments of Walter Goffart and Christopher Heath who view the significance of the natural and supernatural worlds in Paul more narrowly. For Paul, I argue, people were the product of their environment. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of the Australian Early Medieval Association. 2024/12, Vol. 20, Issue 2, p149
  • Document Type:Article
  • Subject Area:Military History and Science
  • Publication Date:2024
  • ISSN:1449-9320
  • DOI:10.35253/JAEMA.2024.2.2
  • Accession Number:187959227
  • Copyright Statement:Copyright of Journal of the Australian Early Medieval Association is the property of Australian Early Medieval Association 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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