Origins of antimining resistance in the life of a grassroots American Indian leader: Prospects for Indigenizing psychobiography.
Published In: Journal of Personality, 2023, v. 91, n. 1. P. 68 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Gone, Joseph P. 3 of 3
Abstract
American Indian communities have long been subject to environmental degradation, but successful "grassroots" struggles to end such exploitation are exceedingly rare. How is it that Joseph William Azure—my father and an unsung hero of social change—came to "notice" in 1985 that "our entire [reservation] mountain range was at risk" from destructive gold mining and, in response, to form "a small grassroots traditional society" that created "a lot of local and national publicity for our cause to save" these mountains? To address this question, I adopted and adapted the approaches and methods of psychobiography to trace shifts in his sense of self in response to midlife socialization into Indigenous traditional spirituality. In developing this brief account of his development as a social change agent, I propose that psychobiography may require "Indigenization" if it is to better represent American Indian lives. Specifically, some Indigenous life stories will perhaps require tellings that center on collective endeavors rather than individual ones, reconstruction of life experiences based on comparably limited (material) archives, deeper preservation of the conventions of orality, and curation by close kin rather than by "distanced" analysts. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Personality. 2023/02, Vol. 91, Issue 1, p68
- Document Type:Article
- Subject Area:Science
- Publication Date:2023
- ISSN:0022-3506
- DOI:10.1111/jopy.12718
- Accession Number:161007933
- Copyright Statement:Copyright of Journal of Personality 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.