Machine Readable Race: Constructing Racial Information in the Third Reich

Q2 Social Sciences
Luke Munn
{"title":"Machine Readable Race: Constructing Racial Information in the Third Reich","authors":"Luke Munn","doi":"10.1515/opis-2020-0011","DOIUrl":null,"url":null,"abstract":"Abstract This paper examines how informational processing drove new structures of racial classification in the Third Reich. The Deutsche Hollerith-Maschinen Gesellschaft mbH (Dehomag) worked closely with the government in designing and integrating punch-card informational systems. As a German subsidiary of IBM, Dehomag’s technology was deployed initially for a census in order to provide a more detailed racial analysis of the population. However the racial data was not detailed enough. The Nuremberg Race Laws provided a more precise and procedural definition of Jewishness that could be rendered machine-readable. As the volume and velocity of information in the Reich increased, Dehomag’s technology was adopted by other agencies like the Race and Settlement Office, and culminated in the vision of a single machinic number for each citizen. Through the lens of these proto-technologies, the paper demonstrates the historical interplay between race and information. Yet if the indexing and sorting of race anticipates big-data analytics, contemporary power is more sophisticated and subtle. The complexity of modern algorithmic regimes diffuses obvious racial markers, engendering a racism without race.","PeriodicalId":32626,"journal":{"name":"Open Information Science","volume":"4 1","pages":"143 - 155"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/opis-2020-0011","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/opis-2020-0011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract This paper examines how informational processing drove new structures of racial classification in the Third Reich. The Deutsche Hollerith-Maschinen Gesellschaft mbH (Dehomag) worked closely with the government in designing and integrating punch-card informational systems. As a German subsidiary of IBM, Dehomag’s technology was deployed initially for a census in order to provide a more detailed racial analysis of the population. However the racial data was not detailed enough. The Nuremberg Race Laws provided a more precise and procedural definition of Jewishness that could be rendered machine-readable. As the volume and velocity of information in the Reich increased, Dehomag’s technology was adopted by other agencies like the Race and Settlement Office, and culminated in the vision of a single machinic number for each citizen. Through the lens of these proto-technologies, the paper demonstrates the historical interplay between race and information. Yet if the indexing and sorting of race anticipates big-data analytics, contemporary power is more sophisticated and subtle. The complexity of modern algorithmic regimes diffuses obvious racial markers, engendering a racism without race.
机器可读种族:建构第三帝国的种族信息
摘要本文探讨了信息处理如何推动第三帝国种族分类的新结构。德荷马格德和政府密切合作,设计和集成打孔卡信息系统。作为IBM的德国子公司,Dehomag的技术最初用于人口普查,以便对人口进行更详细的种族分析。然而,种族数据不够详细。纽伦堡种族法为犹太性提供了一个更精确和程序化的定义,可以机器可读。随着帝国信息量和速度的增加,德荷马格的技术被种族和定居办公室等其他机构所采用,并最终实现了为每个公民提供一个单一的机械号码的愿景。通过这些原始技术的视角,本文展示了种族和信息之间的历史相互作用。然而,如果对种族的索引和排序能够预测大数据分析,那么当代的力量就更加复杂和微妙。现代算法制度的复杂性扩散了明显的种族标记,产生了一种没有种族的种族主义。
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 求助全文
来源期刊
Open Information Science
Open Information Science Social Sciences-Library and Information Sciences
CiteScore
1.40
自引率
0.00%
发文量
7
审稿时长
8 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信