JOURNAL ARTICLE

Re‐tribalization in the 21st century, part 1.

  • Published In: Anthropology Today, 2023, v. 39, n. 5. P. 3 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ahmed, Akbar; Martin, Frankie; Ahmed Hoti, Amineh 3 of 3

Abstract

This exploratory study presents 're‐tribalization' as a framework for comprehending contemporary global patterns and phenomena. It posits a link between the erosion of modernity's traits and a resurgence of tribal behaviour – the more elements that we associate with modernity diminish, the more we see the emergence of group formations akin to anthropological notions of tribes. This trend manifests not only in societies where tribal and lineage affiliations remain central to identity but also – perhaps more notably, considering modernity's promises – in developed nations, including global powerhouses like the USA, India and China. 'Re‐tribalization' signifies a modern‐day recourse to a so‐called tribal past, fortifying intra‐group cohesion and creating a distinction from other groups, thus delineating 'us' and 'them'. This process highlights the drawing of boundaries between communities, positing that such delineations were more apparent in the past and need to be re‐established to navigate today's challenges and crises. The study traces the historical lineage of re‐tribalization appeals and their ties to nationalism, citing instances from Johann Gottfried Herder's works. This argument leverages the authors' nearly two decades of ethnographic fieldwork, a collection of four studies and initial insights from their soon‐to‐be‐published book. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Anthropology Today. 2023/10, Vol. 39, Issue 5, p3
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0268-540X
  • DOI:10.1111/1467-8322.12835
  • Accession Number:172437522
  • Copyright Statement:Copyright of Anthropology Today is the property of Wiley-Blackwell 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.