德勒兹和瓜塔里
不确定性(哲学)
拨款
组合(考古学)
认识论
政治
功率(物理)
哲学
阅读(过程)
相异性
抗性(生态学)
生成语法
论证理论
社会学
美学
语言学
历史
法学
物理
考古
政治学
生物
量子力学
生态学
出处
期刊:Deleuze and Guattari studies
[Edinburgh University Press]
日期:2020-08-01
卷期号:14 (3): 375-401
被引量:3
标识
DOI:10.3366/dlgs.2020.0409
摘要
While Deleuze and Guattari's Anti-Oedipus (1972) is quite rightly considered a fully fledged response to May ’68 and as one with the radical politics of the 1970s, their 1980 follow-up, A Thousand Plateaus, has tended to provoke a more perplexed reaction. In this article, I will argue that we can nonetheless extract a definite line of argumentation serving a precise political end if we relate the text back to Foucault's mid-1970s output on power/knowledge. In particular, I will emphasise Deleuze and Guattari's appropriation of the Foucaultian notion of dispositif (apparatus) via their concept of the assemblage, the former being understood as a concrete articulation of lines of power, knowledge and subjectivation, as well as the Foucaultian ‘diagram’, the latter being a more abstract or indeterminate stage of the dispositif whose relative indeterminacy, for Deleuze and Guattari, offers a means of escape. I will show that, making room for the assemblage's opening back onto the relative indeterminacy of its generative stages, the assemblage incorporates into itself a more immanent alternative to the dispositif that is focused on collective desire rather than power, within which resistance becomes a primary and generative dimension rather than a counter-attack. In the first section, I will outline Foucault's approach to power, knowledge and subjectivation, emphasising Deleuze's reading of Foucault though without trying to overdetermine my reading in this way. Next, I will turn to the Foucaultian diagram. In the third section, I will focus on A Thousand Plateaus, demonstrating how the notion of assemblage developed in this text responds to and builds upon Foucault's approach to power/knowledge and subjectivation in order to reconceive resistance.
科研通智能强力驱动
Strongly Powered by AbleSci AI