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Cited by 1,299

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May the Sheep Safely Graze? A Reflexive View of the Expert–Lay Knowledge Divide

Open access
Wynne, Brian·1998·Risk, Environment and Modernity: Towards a New Ecology

Abstract

This paper argues for a rethinking of disease preparedness that puts incertitude and the politics of knowledge at the centre. Through examining the \nexperiences of Ebola, Nipah, cholera and COVID-19 across multiple settings, \nthe limitations of current approaches are highlighted. Conventional \napproaches assume a controllable, predictable future, which is responded \nto by a range of standard interventions. Such emergency preparedness \nplanning approaches assume risk – where future outcomes can be predicted – \nand fail to address uncertainty, ambiguity and ignorance – where outcomes \nor their probabilities are unknown. Through examining the experiences of \noutbreak planning and response across the four cases, the paper argues for \nan approach that highlights the politics of knowledge, the constructions of \ntime and space, the requirements for institutions and administrations and the \nchallenges of ethics and justice. Embracing incertitude in disease preparedness responses therefore means making contextual social, political and cultural dimensions central.

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Metadata

Authors
Wynne, B.
Venue
Risk, Environment and Modernity: Towards a New Ecology
Published
1998
Pages
44-83
OpenAlex
W1960859553
Cited by
1,299
References
0
FWCI
250.34
Type
book chapter
Language
en
Open access
green

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CoChat. (2026). Citation check: May the Sheep Safely Graze? A Reflexive View of the Expert–Lay Knowledge Divide. https://app.cochat.ai/papers/10.4135/9781446221983.n3
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Wynne, B. (1998). May the Sheep Safely Graze? A Reflexive View of the Expert–Lay Knowledge Divide. Risk, Environment and Modernity: Towards a New Ecology. https://doi.org/10.4135/9781446221983.n3

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.