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年龄、风险评估与制裁:高估老年人,低估年轻人。

Age, risk assessment, and sanctioning: Overestimating the old, underestimating the young.

作者信息

Monahan John, Skeem Jennifer, Lowenkamp Christopher

机构信息

University of Virginia School of Law.

Schools of Social Welfare and Public Policy, University of California, Berkeley.

出版信息

Law Hum Behav. 2017 Apr;41(2):191-201. doi: 10.1037/lhb0000233. Epub 2017 Feb 2.

DOI:10.1037/lhb0000233
PMID:28150973
Abstract

While many extoll the potential contribution of risk assessment to reducing the human and fiscal costs of mass incarceration without increasing crime, others adamantly oppose the incorporation of risk assessment in sanctioning. The principal concern is that any benefits in terms of reduced rates of incarceration achieved through the use of risk assessment will be offset by costs to social justice-which are claimed to be inherent in any risk assessment process that relies on variables for which offenders bear no responsibility, such as race, gender, and age. Previous research has addressed the variables of race and gender. Here, based on a sample of 7,350 federal offenders, we empirically test the predictive fairness of an instrument-the Post Conviction Risk Assessment (PCRA)-that includes the variable of age. We found that the strength of association between PCRA scores and future arrests was similar across younger (i.e., 25 years and younger), middle (i.e., 26-40 years), and older (i.e., 41 years and older) age groups (AUC values .70 or higher). Nevertheless, rates of arrest within each PCRA risk category were consistently lower for older than for younger offenders. Despite its inclusion of age as a risk factor, PCRA scores overestimated rates of recidivism for older offenders and underestimated rates of recidivism for younger offenders. (PsycINFO Database Record

摘要

虽然许多人称赞风险评估在不增加犯罪率的情况下,对降低大规模监禁的人力和财政成本可能做出的贡献,但也有人坚决反对在量刑中纳入风险评估。主要担忧在于,通过使用风险评估实现的监禁率降低所带来的任何益处,都会被社会正义方面的成本所抵消——据称,任何依赖于罪犯无需负责的变量(如种族、性别和年龄)的风险评估过程都存在这些成本。先前的研究已经探讨了种族和性别的变量。在此,基于7350名联邦罪犯的样本,我们对一种工具——定罪后风险评估(PCRA)——的预测公平性进行了实证检验,该工具包含年龄变量。我们发现,在年轻(即25岁及以下)、中年(即26 - 40岁)和老年(即41岁及以上)年龄组中,PCRA分数与未来逮捕之间的关联强度相似(AUC值为0.70或更高)。然而,在每个PCRA风险类别中,老年罪犯的逮捕率始终低于年轻罪犯。尽管PCRA将年龄作为一个风险因素纳入其中,但它高估了老年罪犯的再犯率,低估了年轻罪犯的再犯率。(PsycINFO数据库记录)

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