控制论作为学科交叉授粉:数据科学的人类学

IF 0.1 0 HUMANITIES, MULTIDISCIPLINARY
S. Paff
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引用次数: 0

摘要

本文采用控制论方法来探索人类学和人种学研究的范围,以及利用数据科学技术扩大人种学构成的潜力。历史上,人类学家倾向于将数据科学作为一门学科来寻求四种类型的关系:数据科学的人类学、数据科学之上的人类学、人类学与数据科学,以及四种关系中最不发达的数据科学人类学。我讲述了数据科学家在溯因、自下而上的定量研究中培养的潜在见解,这些见解可能对人类学家尤其有用,对具有控制论思想的思想家也很有用。基于尼克·西弗的私生子学科和方法论概念,人类学与数据科学的关系为人类学研究中的这种战略结合提供了一种有益的方式,并为其他学科背景下的控制论学者提供了有益的思考食粮。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cybernetics as disciplinary cross-pollination: Anthropology by data science
This article employs a cybernetic approach to explore the scope of what constitutes anthropological and ethnographic research and the potential to utilize data science techniques to broaden what constitutes ethnography. Four types of relationships anthropologists historically have tended to seek out with data science as a discipline: anthropology of data science, anthropology over data science, anthropology with data science and, the least developed of the four, anthropology by data science. I relate potential insights data scientists have cultivated on abductive, bottom-up quantitative research that might be useful for anthropologists in particular and cybernetically minded thinkers in general. Grounded Nick Seaver’s concept of bastard disciplines and methodologies, an anthropology by data science relationship provides a beneficial way to ground such strategic incorporations within anthropological research and helpful food for thought for cybernetic scholars in other disciplinary contexts.
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来源期刊
Technoetic Arts
Technoetic Arts HUMANITIES, MULTIDISCIPLINARY-
CiteScore
0.60
自引率
0.00%
发文量
11
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