JOURNAL ARTICLE

Black, Red and Blue: The Potential for Developing a Contextual Welsh Theology Through Insights From Indigenous and Black Theology.

  • Published In: Feminist Theology: The Journal of the Britain & Ireland School of Feminist Theology, 2025, v. 33, n. 3. P. 267 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: James, Manon Ceridwen 3 of 3

Abstract

The article explores the development of a Welsh Contextual Theology, emphasizing the significance of voice, language, and identity within Welsh culture and history. It draws parallels between Welsh experiences of linguistic and cultural oppression—such as the stigmatization of the Welsh language following the 1847 "Blue Books" report and the use of the "Welsh Not"—and other post-colonial and liberation theologies, notably African American theology as articulated by James Cone. The discussion highlights how colonialist and racist theological anthropologies have marginalized groups by denying full humanity, and it argues for a theology that values language diversity, cultural identity, and the sacredness of land. The article suggests that Welsh Contextual Theology can contribute uniquely to feminist and liberation theologies by addressing bilingualism, language death, and the ongoing effects of colonialism on Welsh identity and theological reflection.

Additional Information

  • Source:Feminist Theology: The Journal of the Britain & Ireland School of Feminist Theology. 2025/05, Vol. 33, Issue 3, p267
  • Document Type:Article
  • Subject Area:Religion and Philosophy
  • Publication Date:2025
  • ISSN:0966-7350
  • DOI:10.1177/09667350251327112
  • Accession Number:184627110
  • Copyright Statement:Copyright of Feminist Theology: The Journal of the Britain & Ireland School of Feminist Theology is the property of Sage Publications Inc. 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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