From Indien to Autochtone: Evolution of the general denominations of Indigenous groups in Quebec.
Published In: Nota Bene: Journal for Linguistics in Belgium & the Netherlands, 2024, v. 1, n. 1. P. 58 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Elchacar, Mireille 3 of 3
Abstract
The article explores the evolution of terminology used to refer to Indigenous groups in Quebec, noting the transition from terms like "Indiens" and "Amérindiens" to "Autochtones" and "Membres des Premières Nations." This shift is influenced by sociopolitical movements such as Idle No More and the Truth and Reconciliation Commission, reflecting a broader trend of empowerment and identity reclamation among Indigenous communities. The study examines the adoption of these new designations in various contexts, including Canadian laws, history textbooks, and the media, showcasing a gradual acceptance of the updated terms. The text also delves into the differing perspectives within Indigenous communities regarding the changes, with some viewing them as a sign of respect while others argue that traditional terms are not derogatory. Additionally, the article compares how dictionaries in France and Quebec handle terms like "Indien," "Amérindien," "Autochtone," and "Premières Nations," emphasizing the importance of accurate and respectful language when referring to Indigenous peoples. [Extracted from the article]
Additional Information
- Source:Nota Bene: Journal for Linguistics in Belgium & the Netherlands. 2024/01, Vol. 1, Issue 1, p58
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:2950-189X
- DOI:10.1075/nb.00005.elc
- Accession Number:182222319
- Copyright Statement:Copyright of Nota Bene: Journal for Linguistics in Belgium & the Netherlands is the property of John Benjamins Publishing Co. 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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