JOURNAL ARTICLE
The "Greenberg Controversy" and the Interdisciplinary Study of Global Linguistic Relationships**.
Published In: Berichte zur Wissenschafts-Geschichte, 2023, v. 46, n. 1. P. 114 1 of 3
Database: Historical Abstracts with Full Text 2 of 3
Authored By: Kaplan, Judith R. H. 3 of 3
Abstract
This paper examines the controversy that followed the 1987 publication of Joseph Greenberg's book, Language in the Americas, attending to the role of language and linguistic research within overlapping disciplinary traditions. With this text, Greenberg presented a macro‐level tripartite classification that opposed then dominant fine‐grained analyses recognizing anywhere from 150 to 200 distinct language families. His proposal was the subject of a landmark conference, examining strengths and weaknesses, the unpublished proceedings of which are presented here for the first time. For specialists in the anthropological and comparative‐historical study of Indigenous American languages, Greenberg's intervention highlighted the tension between language, conceived as an abstract object of study, and languages, understood to be carriers of specific cultural knowledge. For physical anthropologists and archaeologists, his theory was initially fortuitous on programmatic, substantive, and methodological grounds. The essay will show how interdisciplinary appeals were figured by supporters as a virtue, and by critics as a vice. The essay further highlights ethical reasons for integrating historical narratives of science and the humanities. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Berichte zur Wissenschafts-Geschichte. 2023/03, Vol. 46, Issue 1, p114
- Document Type:Article
- Subject Area:Language and Linguistics
- Publication Date:2023
- ISSN:0170-6233
- DOI:10.1002/bewi.202200038
- Accession Number:162398898
- Copyright Statement:Copyright of Berichte zur Wissenschafts-Geschichte 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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