World Histories of Big Data Policing

IF 1 Q3 SOCIOLOGY
Brendan Mcquade
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引用次数: 1

Abstract

Textbook presentations of U.S. policing name the present as new stage of professionalization: the homeland security era, where the application of “big data” promises “smarter” policing. Within this framework of gradual progress, liberal police scholarship has become the official criticism of big data policing to organize a project of liberal reform. Of course, this scholarship is being in written in the context of both militant social movements within the United States and the terminal decline of U.S. global hegemony. To clarify the stakes of this moment, this paper connects the Marxist anti-security perspective and anti-racist critiques of surveillance and big data policing from within the Black radical tradition. It argues that the emergence of big data policing is the latest development in ongoing processes of pacification that have expanded, organized, and reproduced the colonial/modern world-system over the longue durée. The paper extends and elaborates conceptualizations of hegemonic cycles in relation to work on the maturation of intelligence tradecraft, focusing on two interrelated developments: (1) two information revolutions that reorganized social relations and (2) the police-wars that shaped the rise and decline of the United States as a world hegemonic power. It concludes that big data policing is the latest outgrowth of the imperial epistemology that organized and continues animate the work of pacification and obscure the politics of anti-systemic struggle.
大数据警务的世界历史
美国警务教科书将当前称为专业化的新阶段:国土安全时代,“大数据”的应用承诺“更智能”的警务。在这个渐进的框架下,自由主义警察学术已经成为官方对大数据警务的批评,以组织一个自由主义改革项目。当然,这项研究是在美国国内激进的社会运动和美国全球霸权的最终衰落的背景下进行的。为了澄清这一时刻的利害关系,本文将马克思主义的反安全观点与黑人激进传统中对监视和大数据警务的反种族主义批评联系起来。它认为,大数据警务的出现是正在进行的和平进程的最新发展,在漫长的时间里,和平进程扩大、组织和复制了殖民/现代世界体系。本文扩展并阐述了与情报技术成熟相关的霸权周期概念,重点关注两个相互关联的发展:(1)重组社会关系的两次信息革命;(2)塑造美国作为世界霸权国家兴衰的警察战争。它的结论是,大数据警务是帝国认识论的最新产物,它组织并继续推动了绥靖工作,并模糊了反体制斗争的政治。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of World-Systems Research
Journal of World-Systems Research Social Sciences-Political Science and International Relations
CiteScore
1.80
自引率
0.00%
发文量
24
审稿时长
30 weeks
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