JOURNAL ARTICLE
Mnemo-Text and Ethnography in Contemporary Indonesian Decolonial Theologizing.
Published In: International Journal of Religion & Spirituality in Society, 2025, v. 15, n. 2. P. 241 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lattu, Izak Y. M. 3 of 3
Abstract
This article investigates the potential for developing a decolonial theologizing in contemporary Indonesia through mnemo-texts derived from communal collective memory and ethnographic research, to uncover the divine voice inherent in indigenous epistemologies. While existing decolonial theologies emphasize the recentering of local values, they have not yet explored the divine voice in collective remembrance and folklore. This study employs the concept of theologizing as an active process, reintegrating local epistemologies into theological reflection, focusing on orality and inkless theologizing. The traditional ink-centric approach has restricted Christianity to a limited interpretation of divine revelation, often dismissing nonscriptural expressions as syncretic or heretical. By utilizing an interdisciplinary approach that intersects the sociology of religion, theology, and folklore studies, this article conceptualizes decolonial theologizing as a dynamic process for reasserting or reclaiming indigenous epistemologies that have been marginalized during the colonial era and subjected to the colonial matrix of power. The study concludes that mnemo-texts and ethnography offer a robust foundation for developing a decolonial theologizing within oral-oriented societies. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Religion & Spirituality in Society. 2025/06, Vol. 15, Issue 2, p241
- Document Type:Article
- Subject Area:History
- Publication Date:2025
- ISSN:2154-8633
- DOI:10.18848/2154-8633/CGP/v15i02/241-262
- Accession Number:186181451
- Copyright Statement:Copyright of International Journal of Religion & Spirituality in Society is the property of Common Ground Research Networks 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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