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    LexArt Words for Painting

    (France, Germany, England, The Netherlands, 1600-1750)

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    Contributor(s)
    Heck, Michèle-Caroline (editor)
    Collection
    European Research Council (ERC); EU collection
    Language
    English
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    Abstract
    LexArt. Words for Painting is a dictionary of terms and concepts used by the painters and theorists to describe both practice and theory in France, Germany, England and the Netherlands in the 17th and 18th centuries. The purpose is to highlight the stakes of the usages of these words and concepts in different chronological and geographical contexts. 77 essays cover nearly 250 concepts. The entries, appearing in traditional alphabetical order, outline the boundaries of a new reading of the painting as seen through the eye of the painter as well as through the eye of the spectator. Indeed, the "speaking painting" not only invites the spectator into the painter's studio to show how the painting is done, but introduces him to the painting itself, indicating what to see and how to see.
    URI
    https://library.oapen.org/handle/20.500.12657/42384
    Keywords
    artistic terminology; artistic lexicography; art theory; artistic practice; artistic literature; painting
    Publisher
    Presses Universitaires de la Méditerranée - PULM
    Publisher website
    https://www.pulm.fr/
    Publication date and place
    Montpellier, 2018
    Grantor
    • FP7 Ideas: European Research Council - 323761 - LexArt: Words for art Research grant informationFind all documents
    Series
    Théorie des Arts,
    Classification
    The Arts
    Paintings and painting
    Literacy
    Pages
    525
    Public remark
    21-12-2020 - No DOI registered in CrossRef for ISBN 9782367812854
    Rights
    https://creativecommons.org/licenses/by-nc/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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