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    Chapter 4 Pretty Dolls Don’t Play Dice

    Proposal review

    The Calculated Vulnerabilities of Jennifer Egan’s Manhattan Beach (2017)

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    Author(s)
    FERNANDEZ-SANTIAGO, MIRIAM
    Language
    English
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    Abstract
    Jennifer Egan’s Manhattan Beach (2017) narrates the misadventures of young Irish Catholic Anna Kerrigan in her pursuit of a diving career in the New York docks during WWII. These misadventures are heavily conditioned by the accumulation of a series of structural vulnerabilities intersecting class, gender, religion, immigration, and disability, as well as political and economic corruption, which are emphasized against the backdrop of an impossible American Dream. The structural oppressions visibilized by Egan in this novel will thus serve to reflect on how the purported national invulnerability underlying USA’s imperialism in the second half of the 20th century was in fact based on obscuring national vulnerabilities that strongly resonate at the beginning of the new millennium. This chapter explores Egan’s formal experimentation with historical fiction as a calculated risk that draws its narrative strengths from the spectacularization of vulnerability while exposing the novel’s formal belatedness as a case of vulnerable narrative.
    Book
    Representing Vulnerabilities in Contemporary Literature
    URI
    https://library.oapen.org/handle/20.500.12657/76527
    Keywords
    Manhattan Beach, Jennifer Egen, oppression, spectacularization
    DOI
    10.4324/9781032130323-5
    ISBN
    9781032130316, 9781032424057, 9781032130323
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2023
    Grantor
    • Junta de Andalucía
    Imprint
    Routledge
    Pages
    16
    Public remark
    Consejería de Universidad, Investigación e Innovación de la Junta de Andalucía
    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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