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'He who relies on relatives and friends die poor': class closure and stratagems of civility in peri‐urban Kenya.

  • Published In: Journal of the Royal Anthropological Institute, 2023, v. 29, n. 2. P. 326 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lockwood, Peter 3 of 3

Abstract

Africanist anthropology has tended to paint social relations on the continent in a positive light, giving the impression that a pro‐social relationality will provide the poor with economic assistance in moments of need. This article troubles these accounts by turning to Kenya, where a history of socioeconomic stratification has created a landscape of class closure. Rather than generously give, upwardly mobile families seek to distance themselves from potential requests for material assistance. Meanwhile, they valorize their own hard work as the source of their success, encouraging the poor to follow suit: to pursue economic independence. In this context, the article underscores the work of relation‐making as poor families attempt to keep social relationships with wealthy locals open by practising 'civility': hiding their anticipation of material support by concealing economic distress whilst outwardly performing their own success. Taking inspiration from F.G. Bailey's classic work on 'stratagems and spoils', the article emphasizes the interested, conscious effort of making relations as a means of combating economic exclusion in an unequal world. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of the Royal Anthropological Institute. 2023/06, Vol. 29, Issue 2, p326
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:1359-0987
  • DOI:10.1111/1467-9655.13914
  • Accession Number:163632098
  • Copyright Statement:Copyright of Journal of the Royal Anthropological Institute 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.)

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