逮捕社会危险性量化评估模型的设计问题及优化路径
Assessment Model for the Social Dangerousness of Arrest
金玲楠 1张栋1
作者信息
摘要
目前,逮捕社会危险性量化评估模型在一定程度上能够辅助检察官对逮捕社会危险性条件作出判断.但该模型在具体设计上还存在一些问题:一是部分评估因素设置合理性不足;二是部分设计选取的样本代表性不足或样本质量不佳;三是评估程序的公开性和公正性还有所欠缺;四是评估结论的适用未受到合理限制且难以被修正.为确保逮捕社会危险性量化评估模型更为恰当地服务于刑事诉讼逮捕决策,应合理设置评估因素,使评估结果回归逮捕的应然功能;提升样本选取的科学性,确保评估样本的代表性、可靠性;统筹公开性与公正性要求,保障评估程序的公开、公正;明确评估结论适用的有限性和可修正性,提高评估结论适用的科学性和合理性.
Abstract
Currently,the quantitative assessment model for the social dangerousness of arrest assists prosecutors to some extent in making judgments on the conditions for arresting individuals based on their social dangerousness.Howev-er,this model encounters several issues in its specific design and practical application:Firstly,some assessment factors are inadequately rationalized;Secondly,the representativeness of selected samples is insufficient or their quality is poor;Thirdly,there is a lack of transparency and fairness in the assessment process;Fourthly,the applicability of as-sessment conclusions lacks reasonable limitations and is difficult to revise.To ensure that the quantitative assessment model for the social dangerousness of arrest more appropriately serves the decision-making in criminal proceedings,it is necessary to:properly define assessment factors to align assessment results with the intended function of arrest;im-prove the scientific basis of sample selection to ensure the representativeness and reliability of assessment samples;bal-ance the demands for transparency and fairness in assessment procedures to guarantee openness and fairness;clearly define the limitations and revisability of assessment conclusions to enhance the scientific and rational use of assessment results.
关键词
逮捕/社会危险性条件/量化评估/算法Key words
arrest/conditions of social dangerousness/quantitative assessment/algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据