"Of Course, Data Can Never Fully Represent Reality": Assessing the Relationship between "Indigenous Data" and "Indigenous Knowledge," "Traditional Ecological Knowledge," and "Traditional Knowledge".

4区 生物学 Q2 Medicine
Marisa Elena Duarte, Morgan Vigil-Hayes, Sandra Littletree, Miranda Belarde-Lewis
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引用次数: 16

Abstract

Multiple terms describe Indigenous peoples' creative expressions, including "Indigenous knowledge" (IK), "traditional ecological knowledge" (TEK), "traditional knowledge" (TK), and increasingly, "Indigenous data" (ID). Variation in terms contributes to disciplinary divides, challenges in organizing and finding prior studies about Indigenous peoples' creative expressions, and intellectually divergent chains of reference. The authors applied a decolonial, digital, feminist, ethics-of-care approach to citation analysis of records about Indigenous peoples knowledge and data, including network analyses of author-generated keywords and research areas, and content analysis of peer-reviewed studies about ID. Results reveal ambiguous uses of the term "Indigenous data"; the influence of ecology and environmental studies in research areas and topics associated with IK, TEK, and TK; and the influence of public administration and governance studies in research areas and topics associated with ID studies. Researchers of ID would benefit from applying a more nuanced and robust vocabulary, one informed by studies of IK, TEK, and TK. Researchers of TEK and TK would benefit from the more people-centered approaches of IK. Researchers and systems designers who work with data sets can practice relational accountability by centering the Indigenous peoples from whom observations are sourced, combining narrative methodologies with computational methods to sustain the holism favored by Indigenous science and the relationality of Indigenous peoples.

“当然,数据永远不能完全代表现实”:评估“本土数据”与“本土知识”、“传统生态知识”与“传统知识”的关系。
许多术语描述了土著人民的创造性表达,包括“土著知识”(IK)、“传统生态知识”(TEK)、“传统知识”(TK),以及越来越多的“土著数据”(ID)。术语的差异导致学科分歧,在组织和寻找关于土著人民创造性表达的先前研究方面面临挑战,以及智力上的参考链分歧。作者将非殖民化、数字化、女权主义和关怀伦理的方法应用于土著人民知识和数据记录的引文分析,包括作者生成的关键词和研究领域的网络分析,以及关于ID的同行评议研究的内容分析。结果显示“土著数据”一词的使用含糊不清;生态学和环境研究在与传统、传统和传统有关的研究领域和课题上的影响;以及公共行政和治理研究在与ID研究相关的研究领域和主题中的影响。ID的研究人员将受益于应用更细致和健壮的词汇,这是由IK、TEK和TK的研究提供的信息。TEK和TK的研究人员将受益于IK更加以人为本的方法。处理数据集的研究人员和系统设计师可以实践关系问责制,方法是以观察结果的来源土著人民为中心,将叙事方法与计算方法相结合,以维持土著科学所青睐的整体观和土著人民的关系。
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来源期刊
Human Biology
Human Biology 生物-生物学
CiteScore
1.90
自引率
0.00%
发文量
88
审稿时长
>12 weeks
期刊介绍: Human Biology publishes original scientific articles, brief communications, letters to the editor, and review articles on the general topic of biological anthropology. Our main focus is understanding human biological variation and human evolution through a broad range of approaches. We encourage investigators to submit any study on human biological diversity presented from an evolutionary or adaptive perspective. Priority will be given to interdisciplinary studies that seek to better explain the interaction between cultural processes and biological processes in our evolution. Methodological papers are also encouraged. Any computational approach intended to summarize cultural variation is encouraged. Studies that are essentially descriptive or concern only a limited geographic area are acceptable only when they have a wider relevance to understanding human biological variation. Manuscripts may cover any of the following disciplines, once the anthropological focus is apparent: human population genetics, evolutionary and genetic demography, quantitative genetics, evolutionary biology, ancient DNA studies, biological diversity interpreted in terms of adaptation (biometry, physical anthropology), and interdisciplinary research linking biological and cultural diversity (inferred from linguistic variability, ethnological diversity, archaeological evidence, etc.).
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