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    Imaging Identity: Media, memory and portraiture in the digital age

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    Contributor(s)
    Hinkson, Melinda (editor)
    Language
    English
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    Abstract
    Imaging Identity presents potent reflections on the human condition through the prism of portraiture. Taking digital imaging technologies and the dynamic and precarious dimensions of contemporary identity as critical reference points, these essays consider why portraits continue to have such galvanising appeal and perform fundamental work across so many social settings. This multidisciplinary enquiry brings together artists, art historians, art theorists and anthropologists working with a variety of media. Authors look beyond conventional ideas of the portrait to the wider cultural contexts, governmental practices and intimate experiences that shape relationships between persons and pictures. Their shared purpose centres on a commitment to understanding the power of images to draw people into their worlds. Imaging Identity tracks a fundamental symbiosis — to grapple with the workings of images is to understand something vital of what it is to be human.
    URI
    http://library.oapen.org/handle/20.500.12657/32045
    Keywords
    portraiture; art; digital technology; anthropology; Essay; Photography; Rembrandt
    DOI
    10.22459/II.08.2016
    ISBN
    9781760460402
    OCN
    949854435
    Publisher
    ANU Press
    Publisher website
    https://press.anu.edu.au/
    Publication date and place
    2016
    Classification
    Portraits and self-portraiture in art
    Society and culture: general
    Graphical and digital media applications
    Public remark
    Relevant Wikipedia pages: Essay - https://en.wikipedia.org/wiki/Essay; Photography - https://en.wikipedia.org/wiki/Photography; Rembrandt - https://en.wikipedia.org/wiki/Rembrandt
    Rights
    http://press.anu.edu.au/about/conditions-use
    • 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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