Marisa Elena Duarte, Morgan Vigil-Hayes, Sandra Littletree, Miranda Belarde-Lewis
{"title":"“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。","authors":"Marisa Elena Duarte, Morgan Vigil-Hayes, Sandra Littletree, Miranda Belarde-Lewis","doi":"10.13110/humanbiology.91.3.03","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":13053,"journal":{"name":"Human Biology","volume":"91 3","pages":"163-178"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"\\\"Of Course, Data Can Never Fully Represent Reality\\\": Assessing the Relationship between \\\"Indigenous Data\\\" and \\\"Indigenous Knowledge,\\\" \\\"Traditional Ecological Knowledge,\\\" and \\\"Traditional Knowledge\\\".\",\"authors\":\"Marisa Elena Duarte, Morgan Vigil-Hayes, Sandra Littletree, Miranda Belarde-Lewis\",\"doi\":\"10.13110/humanbiology.91.3.03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":13053,\"journal\":{\"name\":\"Human Biology\",\"volume\":\"91 3\",\"pages\":\"163-178\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.13110/humanbiology.91.3.03\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.13110/humanbiology.91.3.03","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
"Of Course, Data Can Never Fully Represent Reality": Assessing the Relationship between "Indigenous Data" and "Indigenous Knowledge," "Traditional Ecological Knowledge," and "Traditional Knowledge".
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.
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.).