From Estimating to Explaining and Eliminating Ethnic Disproportionality in Stop and Search

Paul Quinton
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Abstract

This article revisits aspects of the current debate that surrounds the annual stop and search statistics, which has become polarised and narrowly focussed on measurement. It aims to broaden the focus of the debate and encourage more comprehensive understandings of the multiple causes of disproportionality in support of more effective policy intervention. The evidence for disproportionality is presented and an argument made for the experience of stop and search, and its effects, to be considered alongside relative stop and search rates. Traditional and alternative methods of estimating disproportionality are discussed, concluding that census‐based measures of the resident population remain the best denominator at the national level. The article closes by drawing out the explanations for disproportionality that are implied by the different estimation methods and proposing a social‐ecological model that captures micro‐ and macro‐level influences on racialised patterns of policing.
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从估计到解释并消除拦截和搜查中的种族不相称现象
本文重新审视了当前围绕年度拦截和搜查统计数据所展开的辩论的各个方面,这场辩论已变得两极分化,且狭隘地关注测量问题。文章旨在拓宽辩论的焦点,鼓励人们更全面地了解造成比例失调的多重原因,从而支持更有效的政策干预。报告提出了造成比例失调的证据,并论证了在考虑相对拦截搜查率的同时,还应考虑拦截搜查的经历及其影响。文章讨论了估计不相称性的传统方法和替代方法,得出的结论是基于人口普查的常住人口测量方法仍然是国家层面的最佳分母。文章最后总结了不同估算方法所隐含的对比例失调的解释,并提出了一个社会生态模型,以捕捉微观和宏观层面对种族化警务模式的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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