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Knowing COVID-19
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Knowing COVID-19 looks at how different kinds of knowledge and meaning have been created and communicated, and the repercussions this has had – and continues to have – for how COVID-19 is managed, experienced, understood and remembered. Knowledge-making, it suggests, took various forms, and these are reflected in the diversity of chapters this volume curates. In the first instance, it demonstrates a rich humanities tradition of constructive critique, as ‘official’ communications around ‘staying home’, ‘keeping distance’, safety on buses, lateral flow testing and vaccine hesitancy are tested and interrogated. Through this collective work, we see one of the clear, indisputable values of the humanities; their attentiveness to the human, and the clarifying or reflective power this might have had with greater embeddedness in policy and information design. In the second instance – and frequently both are accomplished in the same short chapter – this volume collects a series of interventions which set out specifically to create and sustain meaning, particularly when dominant cultural narratives about the pandemic rely on those meanings slipping away from political or popular memory. Thus, we have rich and detailed explorations of the experiences of museum workers, people told to ‘stay home’, older victims of gender-based violence, people with deafblindness and racialised nurses working in the NHS; as well as extensive reflection on what it was like to make the projects which formalised this knowledge work. Taken as a whole, this volume critiques and redefines pandemic epistemologies, assembling a partial blueprint for making future crises legible.
This book is included in DOAB.
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Keywords
- Communication
- Epistemology
- Humanities
- Knowledge
- thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
- thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTK Philosophy: epistemology and theory of knowledge
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
Links
DOI: 10.7765/9781526178657Editions