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Evolving Abolition: Historical and Contemporary Anti-Slavery Movements in Southeast Nigeria.

  • Published In: International Journal of African Historical Studies, 2024, v. 57, n. 2. P. 169 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Odijie, Michael 3 of 3

Abstract

This article explores the complex history and dynamic progression of anti-slavery movements in Igboland, from the colonial period to the present. It examines the cultural and social underpinnings of slave status unique to the Igbo people, focusing on the two main categories: ohu and osu. The study delves into the early localized efforts to abolish slavery, illustrating how these movements were often hindered by colonial government’s misconceptions. Through archival research and interviews with contemporary activists, the paper presents a detailed narrative of these movements’ evolution, culminating in the modern abolition efforts led by organizations like IFETACSIOS. The 2021 abolition initiative in Nsukka is highlighted as a case study to discuss the strategies and ideological underpinnings of current abolition efforts that integrate traditional beliefs and authorities in their methodologies. This article contributes to a broader understanding of how historical legacies influence contemporary social movements and underscores the ongoing challenges and successes in eradicating remnants of slavery in Igboland. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of African Historical Studies. 2024/05, Vol. 57, Issue 2, p169
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:0361-7882
  • Accession Number:180614266
  • Copyright Statement:Copyright of International Journal of African Historical Studies is the property of Trustees of Boston University, acting through its African Studies Center 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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