Christian Dahl, Rasmus H. Wandall, Simon Wittrock
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引用次数: 0

摘要

刑法中一定程度的可预见性对于刑事司法系统的整体功能至关重要。对于受害者、被告和他们的亲属来说,可预测性——以及缺乏可预测性——具有更具体和直接的影响。对于案件的处理方式、时间和结果缺乏可预测性,这给案件当事人带来了重大事件的不确定性。这有效地限制了这些人对自己的案件和生活做出决定的能力。现有文献相应地表明,刑事案件的过程、持续时间和结果的不确定性对相关人员构成了重大负担。确实需要法律和程序授权。在本文中,我们研究了统计模型如何增加判决结果的可预测性,并发现我们的模型减少了被告、受害者及其亲属的案件结果的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forudsigelser om skyld og straffastsættelse
AbstractA certain degree of predictability in criminal law is important for the overall functionality of the criminal justice system. For victims, the accused, and their relatives, predictability – and the lack thereof – has a more concrete and immediate impact. The lack of predictability of how and when cases are handled, and with what outcome, installs an uncertainty of significant events for those involved in the case. This effectively limits those persons’ abilities to make decisions about their cases and their lives. Existing literature correspondingly shows that the process of a criminal case, its duration, and the uncertainty about the outcome represent a significant burden to those involved. There is a real need for legal and procedural empowerment. In this paper, we examine how statistical models increase predictability regarding sentencing outcomes and find that our models reduce the uncertainty of case outcomes for the accused, the victims, and their relatives.
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