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dc.contributorUniversitat Ramon Llull. Facultat de Comunicació i Relacions Internacionals Blanquerna
dc.contributor.authorJones, Christopher
dc.contributor.authorSerra del Pino, Jordi
dc.contributor.authorMayo, Liam
dc.date.accessioned2022-05-26T06:08:04Z
dc.date.accessioned2023-07-12T10:35:31Z
dc.date.available2022-05-26T06:08:04Z
dc.date.available2023-07-12T10:35:31Z
dc.date.issued2021
dc.identifier.urihttp://hdl.handle.net/20.500.14342/613
dc.description.abstractThis essay addresses the COVID-19 pandemic as a case study in postnormal times phenomena: a perfect postnormal storm. The essay introduces basic concepts of postnormal analysis and provides examples of the acceleration of speed, scope, scale, and simultaneity of change in a number of human and natural systems and gives examples of the accelerating complexity, chaos, and contradictions that characterize phenomenon and systems as they become more postnormal. The related concepts of the layers of ignorance and uncertainty are explored related to the movement of phenomenon toward postnormal states. The importance of the idea of manufactured normalcy fields and resistance to or accommodation of postnormal burst, such as lag and tilt, can help to better understand the postnormal landscape. For example, the pros and cons of returning to “normal” raise fundamental questions about the logic and wisdom of the dominant growth and economic paradigm.eng
dc.format.extent15 p.cat
dc.language.isoengcat
dc.publisherSAGE Publicationscat
dc.relation.ispartofWorld Futures Review, vol. 13, núm. 2, 2021cat
dc.rightsAttribution 4.0 International
dc.rights© L'autor/a
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherPandèmia de COVID-19, 2020-cat
dc.subject.otherIncertesacat
dc.titleThe Perfect Postnormal Storm: COVID-19 Chronicles (2020 Edition)cat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/publishedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc316
dc.identifier.doihttps://doi.org/10.1177/19467567211027345cat


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