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        Predictive Sentencing

        Normative and Empirical Perspectives

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        Contributor(s)
        Keijser, Jan W. de (editor)
        Roberts, Julian V. (editor)
        Rybert, Jesper (editor)
        Language
        English
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        Abstract
        Predictive Sentencing addresses the role of risk assessment in contemporary sentencing practices. Predictive sentencing has become so deeply ingrained in Western criminal justice decision-making that despite early ethical discussions about selective incapacitation, it currently attracts little critique. Nor has it been subjected to a thorough normative and empirical scrutiny. This is problematic since much current policy and practice concerning risk predictions is inconsistent with mainstream theories of punishment. Moreover, predictive sentencing exacerbates discrimination and disparity in sentencing. Although structured risk assessments may have replaced 'gut feelings', and have now been systematically implemented in Western justice systems, the fundamental issues and questions that surround the use of risk assessment instruments at sentencing remain unresolved. This volume critically evaluates these issues and will be of great interest to scholars of criminal justice and criminology.
        URI
        https://library.oapen.org/handle/20.500.12657/48489
        Keywords
        risk assessment; contemporary sentencing practices; predictive sentencing
        ISBN
        9781509921430
        Publisher
        Hart Publishing
        Publisher website
        https://www.bloomsburyprofessional.com/hart/
        Publication date and place
        2019
        Classification
        Sentencing and punishment
        Chapters in this book
        • Chapter 5 Is Preventive Detention Morally Worse than Quarantine?
        Rights
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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