杂草:分类、组织和野生

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Martin Parker
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引用次数: 1

摘要

在本文中,我考虑“组织”的概念,以杂草为例,在人类文化的一个类别。杂草的无序常常与农场和花园的有序形式形成对比,而农场和花园是人类劳动抵御野生动物侵害的场所。相比之下,欧洲的浪漫主义和许多环保思想倾向于赞美那些位于文化之外的东西,认为它们更真实或更可再生。在对这些知识景观进行调查之后,我们将考虑某些植物如何进入和退出杂草的范畴,以及这告诉我们关于组织的认识论,特别是植物或后形而上学的组织描述。最后,我建议,在人类世的条件下,有必要研究组织与非组织之间的界限,从而建立野生组织理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weeds: Classification, Organization, and Wilding
In this paper I consider the concept “organization” by using the weed as an example of a category in human culture. The disorganization of the weed is often contrasted to the forms of order that produce farms and gardens, terrains of human labor defended against the wild. In contrast, European romanticism and much environmental thought tends to celebrate that which lies outside culture as being more authentic or regenerative. A survey of these intellectual landscapes is then followed by a consideration of how certain plants move in and out of the category of weed, and what this tells us about an epistemology of organization, particularly a vegetal or post-metaphysical account of organization. Finally, I suggest that it is necessary in Anthropocene conditions, to trouble the boundary between organization and disorganization, and hence to wild organization theory.
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来源期刊
Computational and Mathematical Organization Theory
Computational and Mathematical Organization Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
3.80
自引率
16.70%
发文量
14
审稿时长
>12 weeks
期刊介绍: Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques. Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.
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