犯罪

B. Wiggins
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引用次数: 0

摘要

从19世纪中后期开始,也就是在使用烙印法之后和使用指纹法之前的一段时间里,刑罚机构面临着如何识别惯犯的问题。在此期间,巴黎警署的一名职员Alphonse Bertillon开发了一种人体测量系统,可以在罪犯入狱时测量他们的身体,并将这些测量结果分类,以便在他们再次犯罪时识别他们。《计算种族》的第二章追溯了贝蒂永分类系统传入美国的过程,在那里,它的数据收集实践被种族化了。然后,它调查了芝加哥大学社会学家欧内斯特·伯吉斯(Ernest Burgess)在20世纪20年代对这些数据集的研究,以建立一个量刑和假释决定的公式。伯吉斯的研究结果在很大程度上依赖于以种族为基础的Bertillon数据,并将种族因素纳入了刑期和监督释放的建议中,将种族统计数据作为刑事司法问题的一个关键变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crime
From the mid-to-late nineteenth century, in the period after the use of branding and before the use of fingerprinting, penal institutions faced the problem of how to identify repeat offenders. In this interim, Alphonse Bertillon, a clerk in the Paris Prefecture of Police, developed an anthropometric system that measured the bodies of criminals at their intake and catalogued these measurements in order to identify them should they offend again. Calculating Race’s second chapter traces the importation of the Bertillon System of Classification to the United States, where its data collection practices were racialized. It then investigates University of Chicago sociologist Ernest Burgess’s 1920s work on this data set to build a formula for sentencing and parole decisions. The resulting algorithm from Burgess’s work relied heavily on race-based Bertillon data and factored race into its recommendations for length of sentence and supervised release, installing racial statistics as a key variable in matters of criminal justice.
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