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Cited by 262

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

To fight or to farm? Agrarian dimensions of the Mano River conflicts (Liberia and Sierra Leone)

Open access
Richards, Paul·2005·African Affairs
DOI 10.1093/afraf/adi068
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Abstract

The wars in Liberia and Sierra Leone have been linked to the condition of urbanized youth. Recent research in southeastern Sierra Leone and northwestern Liberia suggests the rural context is of greater significance. The fighting was mainly in rural areas, involved mainly rural youth, and adapted itself to their local concerns. A model of war as the work of urban criminal gangs, reflecting local student politics in the 1970s and embraced internationally, is ripe for replacement by a model of war as agrarian revolt. This would open up the possibility of a more coherent regional analysis of recent West African conflicts. The key to conflict resolution in the region, it is suggested, is an emphasis on agrarian justice, including reform of customary land and marriage law.

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Crossref · 10.1093/afraf/adi068

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Metadata

Authors
Richards, P.
Venue
African Affairs
Publisher
Oxford University Press (OUP)
Published
2005-09-08
Volume
104
Issue
417
Pages
571-590
ISSN
  • 0001-9909 (ISSN-L)
  • 1468-2621
DOI
10.1093/afraf/adi068
OpenAlex
W2123702575
Cited by
262
References
10
FWCI
41.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: To fight or to farm? Agrarian dimensions of the Mano River conflicts (Liberia and Sierra Leone). https://app.cochat.ai/papers/10.1093/afraf/adi068
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Richards, P. (2005). To fight or to farm? Agrarian dimensions of the Mano River conflicts (Liberia and Sierra Leone). African Affairs. https://doi.org/10.1093/afraf/adi068

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.