(Non)governing machine: Seized activism and NGOization as forms of governance in Indonesia.
Published In: PoLAR: Political & Legal Anthropology Review, 2024, v. 47, n. 1. P. 23 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Rasyadian, Yuda 3 of 3
Abstract
NGOization is argued as a key process to the expansion of neoliberalized development, feminist movement, and authentic democratization. Anthropologists have challenged neoliberal assumptions behind NGOization. This article extends the debate by investigating how a nongovernmental organization (NGO) project that initially claimed to buttress egalitarian grassroots activism has undergone NGOization with its public discourse and practice integrated into state work, encapsulating what I theorize as "(non)governing machine"—the apparent nongovernment entity that possesses a systematic power and authority to regulate knowledge and population. Drawing from an ethnographic study of an NGO and local politics in Mollo, Indonesia, my argument is threefold. First, I argue that NGOization enables a specific form of governmentality that has allowed the state to increase its surveillance of, and power over, the population. Second, this article proposes that local politics can be a strong impetus to the establishment of NGOization. Finally, by coining the (non)governing machine, I theorize NGOization as a form of governance, pointing at the productivity and vulnerability of NGO form as a "hybrid formation" that grapples between local politics and transnational networks of power and capital. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:PoLAR: Political & Legal Anthropology Review. 2024/05, Vol. 47, Issue 1, p23
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:1081-6976
- DOI:10.1111/plar.12555
- Accession Number:177613194
- Copyright Statement:Copyright of PoLAR: Political & Legal Anthropology Review is the property of Wiley-Blackwell 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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