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Risk Identification: A Corpus‐Assisted Study of Websites of Government Agencies
Risk, Hazards & Crisis in Public Policy Pub Date : 2020-01-20 , DOI: 10.1002/rhc3.12184
Max Boholm , Åsa Boholm

Government agencies have a key role in the regulation, management, and communication of risk. This paper explores how seven Swedish government agencies in the policy fields of (i) chemicals, (ii) civil contingencies, (iii) energy, (iv) environmental protection, (v) food, (vi) housing and buildings, and (vii) traffic identify risks on their websites. The relational theory of risk is used as an analytical tool to unpack risk identification. An analytical distinction is made between “risk objects,” that is, potentially harmful objects, and “objects at risk,” that is values at stake. The articulation of risk objects and objects at risk on government agencies’ websites is explored by using corpus linguistic techniques that reveal lexical and grammatical patterns of the word “risk.” The agencies identify an extensive assembly of risk objects of various kinds. The sets of risks identified are rather idiosyncratic and there is limited overlap between agencies. The identification of objects at risk is less varied and idiosyncratic than the identification of risk objects, were the agencies appear to be more in agreement. The findings are discussed in relation to the scope of risk identification; institutional explanations, and in terms of conditions for inter‐agency collaboration, identified as a key feature of effective risk governance.

中文翻译:

风险识别:基于语料库的政府机构网站研究

政府机构在风险的监管,管理和沟通中发挥着关键作用。本文探讨了以下七个政策领域的瑞典政府机构如何:(i)化学品,(ii)突发事件,(iii)能源,(iv)环境保护,(v)食品,(vi)住房和建筑物以及(vii) )流量可以确定其网站上的风险。风险的关系理论被用作分析工具,以进行风险识别。在“风险对象”(即潜在有害对象)和“风险对象”(即风险价值)之间进行了分析区分。通过使用语料库语言技术来探索政府机构网站上的风险对象和处于风险中的对象,从而揭示“风险”一词的词汇和语法模式。代理商确定各种风险对象的广泛组合。所确定的风险集非常独特,并且各机构之间的重叠非常有限。如果风险管理机构似乎更加一致,则与风险对象的识别相比,对风险对象的识别没有那么多的变化和特质。讨论的结果与风险识别的范围有关;制度上的解释以及机构间合作的条件,被确定为有效风险治理的关键特征。讨论的结果与风险识别的范围有关;制度上的解释以及机构间合作的条件,被确定为有效风险治理的关键特征。讨论的结果与风险识别的范围有关;制度上的解释以及机构间合作的条件,被确定为有效风险治理的关键特征。
更新日期:2020-01-20
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