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    Dance, Ageing and Collaborative Arts-Based Research

    Proposal review

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    Contributor(s)
    Herron, Rachel (editor)
    Bar, Rachel (editor)
    Skinner, Mark (editor)
    Collection
    Knowledge Unlatched (KU)
    Language
    English
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    Abstract
    Dance, Ageing and Collaborative Arts-Based Research contributes a critical and comprehensive perspective on the role of the arts –specifically dance – in enhancing the lives of older people. The book focuses on the development of an innovative arts-based program for older adults and the collaborative process of exploring and understanding its impact in relation to ageing, social inclusion, and care. It offers a wide audience of readers a richer understanding of the role of the arts in ageing and life enrichment, critical contributions to theories of ageing and care, specific approaches to arts-based collaborative research, and an exploration of the impact of Sharing Dance from the perspective of older adults, artists, researchers, and community leaders. Given the interdisciplinary and collaborative nature of this book, it will be of interest across health, social science, and humanities disciplines, including gerontology, sociology, psychology, geography, nursing, social work, and performing arts. Licence line: Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
    URI
    https://library.oapen.org/handle/20.500.12657/59135
    Keywords
    Geography;Human geography
    DOI
    10.4324/9781003260691
    ISBN
    9781000805543, 9781032197555, 9781032197562, 9781003260691
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2023
    Grantor
    • Knowledge Unlatched
    Imprint
    Routledge
    Classification
    Geography
    Human geography
    Pages
    190
    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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