新自由主义与创新/再生产二元对立

IF 1.4 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
J. Denbow
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引用次数: 0

摘要

摘要:新自由主义带来了美国再生产劳动的再私有化和集约化。与此同时,新自由主义国家在刺激企业科技创新发展方面投入了更多资金,这被认为是繁荣的基础,并为无数问题提供了解决方案。本文认为,创新的话语有助于证明许多新自由主义改革的合理性,并构成了新自由主义理性的一个组成部分。此外,本文将创新/再生产二元理论理论化,认为新自由主义对创新的高估导致了再生产劳动的持续贬值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neoliberalism and the Innovation/Reproduction Binary
Abstract:Neoliberalism has brought the re-privatization and intensification of reproductive labor in the United States. At the same time, the neoliberal state has become more invested in spurring the development of corporate scientific and technological innovations, which are understood as undergirding prosperity and providing solutions to myriad problems. This article argues that the discourse of innovation has helped to justify many neoliberal reforms and constitutes a component of neoliberal rationality. Furthermore, the article theorizes the innovation/reproduction binary to argue that the neoliberal overvaluation of innovation contributes to the continued devaluation of reproductive labor.
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来源期刊
CiteScore
3.90
自引率
5.00%
发文量
13
审稿时长
>12 weeks
期刊介绍: The research on discrete event dynamic systems (DEDSs) is multi-disciplinary in nature and its development has been dynamic. Examples of DEDSs include manufacturing plants, communication networks, computer systems, management information databases, logistics systems, command-control-communication systems, robotics, and other man-made operational systems. The state processes of such systems cannot be described by differential equations in general. The aim of this journal, Discrete Event Dynamic Systems: Theory and Applications, is to publish high-quality, peer-reviewed papers on the modeling and control of, and all other aspects related to, DEDSs. In particular, the journal publishes papers dealing with general theories and methodologies of DEDSs and their applications to any particular subject, including hybrid systems, as well as papers discussing practical problems from which some generally applicable DEDS theories or methodologies can be formulated; The scope of this journal is defined by its emphasis on discrete events and the dynamic nature of the systems and on their modeling, control and optimization.
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