{"title":"Calculating the Souls of Black Folk","authors":"J. K. Abdurahman","doi":"10.52214/CJRL.V11I4.8741","DOIUrl":null,"url":null,"abstract":"In 1995, there were nearly 50,000 children removed from their families into the New York City Administration for Children’s Services’ (ACS) foster care system.1 The NYC ACS’ forcible transfer of children from a protected group into another group may amount to genocide under Article 2(e) of the Genocide Convention if formal review can demonstrate an “intent to destroy” the group “as such” or at least “in part.” Rather than pursuing a citizen’s tribunal, or truth and reconciliation committee to assess the historic transfer of Black children to other groups during this period by the child welfare system, ACS has focused on collecting data from currently targeted populations in order to “predict who needs prevention” services. This paper examines the Family First Prevention Act’s legislative mandate to calculate the “souls of Black folks” and the geographies of predictive analytics developed to serve this aim. Using an abolitionist lens grounded in the epistemology offered by W. E. B. Du Bois’ Souls of Black Folks, this argument moves beyond the Fairness, Accountability and Transparency (FAT) framework to propose strategies for dismantling the “new modes of surveillance and social control” manifested in NYC ACS’ preventive turn. I propose a Get Out mathematics drawing from Katherine McKittrick’s proposal to “count it out different” as the fugitive’s alternative to state sanctioned datafication.","PeriodicalId":212657,"journal":{"name":"Columbia Journal of Race and Law","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Columbia Journal of Race and Law","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52214/CJRL.V11I4.8741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
In 1995, there were nearly 50,000 children removed from their families into the New York City Administration for Children’s Services’ (ACS) foster care system.1 The NYC ACS’ forcible transfer of children from a protected group into another group may amount to genocide under Article 2(e) of the Genocide Convention if formal review can demonstrate an “intent to destroy” the group “as such” or at least “in part.” Rather than pursuing a citizen’s tribunal, or truth and reconciliation committee to assess the historic transfer of Black children to other groups during this period by the child welfare system, ACS has focused on collecting data from currently targeted populations in order to “predict who needs prevention” services. This paper examines the Family First Prevention Act’s legislative mandate to calculate the “souls of Black folks” and the geographies of predictive analytics developed to serve this aim. Using an abolitionist lens grounded in the epistemology offered by W. E. B. Du Bois’ Souls of Black Folks, this argument moves beyond the Fairness, Accountability and Transparency (FAT) framework to propose strategies for dismantling the “new modes of surveillance and social control” manifested in NYC ACS’ preventive turn. I propose a Get Out mathematics drawing from Katherine McKittrick’s proposal to “count it out different” as the fugitive’s alternative to state sanctioned datafication.
1995年,有近5万名儿童从他们的家庭转移到纽约市儿童服务管理局(ACS)的寄养系统根据《种族灭绝公约》第2条(e)项,如果正式审查能够证明“意图摧毁”该群体“本身”或至少“部分”,纽约市儿童保护协会将儿童从一个受保护群体强行转移到另一个群体可能构成种族灭绝。与寻求公民法庭或真相与和解委员会来评估儿童福利系统在此期间将黑人儿童转移到其他群体的历史不同,美国儿童福利协会专注于从当前目标人群中收集数据,以“预测谁需要预防”服务。本文考察了《家庭第一预防法案》的立法授权,即计算“黑人的灵魂”,以及为实现这一目标而开发的预测分析的地理位置。本文以杜波依斯的《黑人之魂》(Souls of Black Folks)提供的认识论为基础,运用废奴主义的视角,超越了公平、问责和透明(FAT)框架,提出了拆除“监视和社会控制的新模式”的策略,这些模式体现在纽约黑人协会的预防性转向中。我建议从凯瑟琳·麦基特里克(Katherine McKittrick)“以不同的方式计算”(count it Out different)的建议中得出一个Get Out数学图,作为逃亡者对国家批准的数据化的替代方案。