管理“邪恶的”技术科学问题:风险叙事的后常态科学

C. Lee
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引用次数: 0

摘要

马来西亚的放射性废物管理仍然是一个棘手的问题,这是为技术经济和工业科学目的提取技术科学知识的结果。早期的政策没有认识到这些风险的全部程度。此外,邪恶问题是由于特定生态条件的相互作用而产生的复杂问题。后常态科学(PNS)成为协商这些复杂性的框架。以科学为基础的问题解决被扩大到包括非科学认识论,这使得来自外行专家的参与性认识论干预合法化。在放射性废物管理方面遇到的问题是由于在测量和评价风险及其原因方面所涉及的高风险不确定性造成的。当对风险治理存在分歧时,棘手的问题就会出现;由于决策过程中的迟钝,或在风险发生和预测机制的黑盒中,所收到的信息不完整;不同专家利益相关者提供的数据的上下文解释可能最终导致错误信息。要讨论的两个案例中的邪恶问题将通过这些镜头来考虑:对技术科学权威和(不信任)结构的矛盾心理,复杂技术科学问题的过度简化,以及在参与性实践传统上被排除在决策之外时制定扩展同行审查的困难。
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Managing ‘Wicked’ Technoscientific Problems: The Postnormal Science of Risk Narratives
Abstract Radioactive waste management in Malaysia remains a wicked problem, the result of extracting technoscientific knowledge for techno-economic and industrial science purposes. Early policies were not cognizant of the full extent of these risks. Moreover, wicked problems are complex problems that emerged out of interactions as a result of particular ecological conditions. Postnormal science (PNS) becomes the framework for the negotiation of these complexities. Science-based problem-solving is broadened to include non-science epistemologies, which enables the legitimation of participatory epistemic interventions from lay experts. The problems encountered in radioactive waste management resulted from the high-stake uncertainties involved in measuring and evaluating risks and their causes. Wicked problems arise when there are disagreements over the governance of risk; incomplete information received as a result of obtuseness in the decision-making process, or in the blackboxing of the risks occurrences and mechanisms of predictions; and contextual interpretations of data provided by different expert stakeholders that could culminate into misinformation. Wicked problems in the two cases to be discussed will be considered through these lenses: ambivalence over technoscientific authorities and the structures of (dis)trust, the over-reducibility of complex technoscientific problems, and the difficulties in enacting extended peer review when participatory practices were traditionally excluded from policy-making.
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来源期刊
CiteScore
1.60
自引率
12.50%
发文量
44
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