JOURNAL ARTICLE
Foundations and Fault Lines: Social Contract Theory, Western Liberalism, and the International Human Rights Regime.
Published In: African Renaissance (1744-2532), 2026, v. 23, n. 1. P. 99 1 of 3
Database: Sociology Source Ultimate 2 of 3
Authored By: Ngcamphalala, Mpendulo Sifiso; Ehiane, Stanley Osezua 3 of 3
Abstract
The article examines the philosophical foundations and normative development of the international human rights regime, focusing on the influence of social contract theory and Western liberalism. It traces the evolution of political thought from Hobbes, Locke, and Rousseau through Enlightenment thinkers like Kant and Mill, highlighting their impact on key human rights instruments such as the Universal Declaration of Human Rights (UDHR, 1948), the International Covenant on Civil and Political Rights (ICCPR, 1966), and the International Covenant on Economic, Social, and Cultural Rights (ICESCR, 1966). While acknowledging the regime's strengths in establishing universal standards and legal accountability, the article critically addresses its Western-centric orientation, cultural exclusivity, selective enforcement, and tensions with state sovereignty. Drawing on postcolonial and pluralist critiques, it argues for a more inclusive, dialogical human rights framework that integrates diverse cultural perspectives—such as African communal ethics and regional human rights systems—to enhance the regime's legitimacy and global relevance.
Additional Information
- Source:African Renaissance (1744-2532). 2026/03, Vol. 23, Issue 1, p99
- Document Type:Article
- Subject Area:History
- Publication Date:2026
- ISSN:1744-2532
- DOI:10.31920/2516-5305/2026/23n1a5
- Accession Number:192533733
- Copyright Statement:Copyright of African Renaissance (1744-2532) is the property of Adonis & Abbey Publishers Ltd. 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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