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    Systems of Classification in Premodern Medical Cultures

    Proposal review

    Sickness, Health, and Local Epistemologies

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    Contributor(s)
    Steinert, Ulrike (editor)
    Collection
    European Research Council (ERC); EU collection
    Language
    English
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    Abstract
    "Systems of Classification in Premodern Medical Cultures puts historical illness concepts in cross-cultural perspective, investigating perceptions, constructions and experiences of health and illness from antiquity to the 17th century. Focusing on the systematisation and classification of illness in its multiple forms, manifestations and causes, this volume examines case studies ranging from popular concepts illness through to specialist discourses on it. Using philological, historical and anthropological approaches, the contributions cover perspectives across time from East Asian, Middle Eastern and Mediterranean cultures, spanning ancient Egypt, Mesopotamia, Greece and Rome to Tibet and China. They aim to capture the multiplicity of illness concepts and medical traditions within specific societies, and to investigate the historical dynamics of stability and change linked to such concepts. Providing useful material for comparative research, the volume is a key resource for researchers studying the cultural conceptualisation of illness, including anthropologists, historians, and classicists, amongst others."
    URI
    https://library.oapen.org/handle/20.500.12657/39910
    Keywords
    classics; pre-modern; medical; cultures; classification; health; comparative; comparison
    ISBN
    97881138571129
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2020
    Grantor
    • FP7 Ideas: European Research Council
    Imprint
    Routledge
    Classification
    Ancient history
    Pages
    338
    Public remark
    21-7-2020 - No DOI registered in CrossRef for ISBN 9781138571129
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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