The credit they deserve: contesting predictive practices and the afterlives of red-lining

IF 4.9 3区 社会学 Q1 POLITICAL SCIENCE Contemporary Political Theory Pub Date : 2023-09-21 DOI:10.1057/s41296-023-00655-z
Emily Katzenstein
{"title":"The credit they deserve: contesting predictive practices and the afterlives of red-lining","authors":"Emily Katzenstein","doi":"10.1057/s41296-023-00655-z","DOIUrl":null,"url":null,"abstract":"Abstract Racial capitalism depends on the reproduction of an existing racialized economic order. In this article, I argue that the disavowal of past injustice is a central way in which this reproduction is ensured and that market-based forms of knowledge production, such as for-profit predictive practices, play a crucial role in facilitating this disavowal. Recent debates about the fairness of algorithms, data justice, and predictive policing have intensified long-standing controversies, both popular and academic, about the way in which statistical and financial modes of accounting and predicting articulate, represent and produce ascriptive categories of hierarchically ordered social difference, and reproduce unjust social hierarchies and inequalities. These debates have productively problematized the racial lives of seemingly apolitical predictive technologies and demanded the re-politicization of predictive practices. What has been missing from these debates so far, however, is a more explicit engagement with ways in which anti-racist movements and activists themselves have contested the entanglements of prediction and race making. I turn to a recent prominent example, namely the contestation over racial discrepancies in subprime lending to examine how fair lending activists have conceptualized and troubled the reproduction of a racialized economic order through for-profit predictive practices in the decade before the Great Financial Crisis. I situate this particular example in the broader historical and political context of politicizing prediction that first emerged with the ascendancy of a liberal, individualist-proprietary conception of risk, and the political problem space to which this has given rise. My analysis shows that actuarial conceptions of fairness continue to reverberate in anti-racist contestations of for-profit predictive practices, and that they tend to marginalize and undercut more radical strands of critique of the racialization of financial markets. Insofar as these modalities of contestation implicitly reproduce a liberal, proprietary-individualist conception of risk, I argue, they fail to effectively challenge the quasi-alchemical transformation of injustice into personal responsibility, and thus contribute to the disavowal of past injustice.","PeriodicalId":51775,"journal":{"name":"Contemporary Political Theory","volume":"7 1","pages":"0"},"PeriodicalIF":4.9000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contemporary Political Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41296-023-00655-z","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Racial capitalism depends on the reproduction of an existing racialized economic order. In this article, I argue that the disavowal of past injustice is a central way in which this reproduction is ensured and that market-based forms of knowledge production, such as for-profit predictive practices, play a crucial role in facilitating this disavowal. Recent debates about the fairness of algorithms, data justice, and predictive policing have intensified long-standing controversies, both popular and academic, about the way in which statistical and financial modes of accounting and predicting articulate, represent and produce ascriptive categories of hierarchically ordered social difference, and reproduce unjust social hierarchies and inequalities. These debates have productively problematized the racial lives of seemingly apolitical predictive technologies and demanded the re-politicization of predictive practices. What has been missing from these debates so far, however, is a more explicit engagement with ways in which anti-racist movements and activists themselves have contested the entanglements of prediction and race making. I turn to a recent prominent example, namely the contestation over racial discrepancies in subprime lending to examine how fair lending activists have conceptualized and troubled the reproduction of a racialized economic order through for-profit predictive practices in the decade before the Great Financial Crisis. I situate this particular example in the broader historical and political context of politicizing prediction that first emerged with the ascendancy of a liberal, individualist-proprietary conception of risk, and the political problem space to which this has given rise. My analysis shows that actuarial conceptions of fairness continue to reverberate in anti-racist contestations of for-profit predictive practices, and that they tend to marginalize and undercut more radical strands of critique of the racialization of financial markets. Insofar as these modalities of contestation implicitly reproduce a liberal, proprietary-individualist conception of risk, I argue, they fail to effectively challenge the quasi-alchemical transformation of injustice into personal responsibility, and thus contribute to the disavowal of past injustice.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
他们应得的荣誉是:对预测实践的质疑,以及红线的后遗症
种族资本主义依赖于现有的种族化经济秩序的再生产。在本文中,我认为否认过去的不公正是确保这种再生产的核心方式,而以市场为基础的知识生产形式,如营利性预测实践,在促进这种否认方面起着至关重要的作用。最近关于算法公平、数据公正和预测性警务的辩论加剧了长期以来的争议,无论是大众还是学术界,都是关于会计和预测的统计和金融模式如何阐明、代表和产生等级有序的社会差异的分类,并再现不公正的社会等级和不平等。这些争论有效地将看似无关政治的预测技术的种族生活问题化,并要求将预测实践重新政治化。然而,到目前为止,这些辩论中缺少的是更明确地参与反种族主义运动和活动人士自己对预测和种族制造的纠缠提出质疑的方式。我转向最近一个突出的例子,即关于次贷中种族差异的争论,以研究公平贷款活动家如何在金融危机前的十年中通过营利性预测实践概念化和困扰种族化经济秩序的再生产。我把这个特殊的例子放在政治化预测的更广泛的历史和政治背景中,这种预测首先出现在自由主义的、个人主义的、私有的风险概念的优势地位,以及由此产生的政治问题空间。我的分析表明,公平的精算概念在营利性预测实践的反种族主义争论中继续回响,它们往往会边缘化和削弱对金融市场种族化的更激进的批评。我认为,只要这些争论的模式隐含地再现了一种自由的、专有的个人主义的风险概念,它们就无法有效地挑战将不公正转化为个人责任的准炼金术,从而有助于否认过去的不公正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Contemporary Political Theory
Contemporary Political Theory POLITICAL SCIENCE-
CiteScore
3.30
自引率
5.60%
发文量
65
期刊介绍: Founded in the UK in 2002, Contemporary Political Theory has quickly established itself in the top rank of peer-reviewed journals in political theory and philosophy. Under new editorship in 2010, the journal is now based in both the USA and UK and reaches out to authors and readers in Europe, Asia and Oceania. It will continue, through a rigorous peer-review process, to seek out the very best work from the wide array of interests that constitute ‘contemporary political theory’: from post-structuralist thought to analytical philosophy, from feminist theory to international relations theory, from philosophies of the social sciences to the cultural construction of political theory itself. The editors welcome submissions from disciplines outside philosophy and political science, including but certainly not limited to: geography and anthropology, women’s studies and gender studies, cultural studies and economics, literary theory and film studies. Contemporary Political Theory publishes a challenging and eclectic mix of articles that contribute both to rethinking what political theory is and does, and to promoting lively engagements with contemporary global politics.
期刊最新文献
Solar politics Also a history of philosophy, volume I: The project of a genealogy of postmetaphysical thinking Truth and its political forms: an explorative cartography In the street: Democratic action, theatricality, and political friendship Contemporary political theory annual prize for 2023 (volume 21)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1