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        The Cosmic Web

        Scientific Field Models and Literary Strategies in the Twentieth Century

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        Author(s)
        Hayles, N. Katherine
        Language
        English
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        Abstract
        From the central concept of the field—which depicts the world as a mutually interactive whole, with each part connected to every other part by an underlying field— have come models as diverse as quantum mathematics and Saussure’s theory of language. In The Cosmic Web, N. Katherine Hayles seeks to establish the scope of the field concept and to assess its importance for contemporary thought. She then explores the literary strategies that are attributable directly or indirectly to the new paradigm; among the texts at which she looks closely are Robert Pirsig’s Zen and the Art of Motorcycle Maintenance, Nabokov’s Ada, D. H. Lawrence’s early novels and essays, Borges’s fiction, and Thomas Pynchon’s Gravity’s Rainbow.
        URI
        https://library.oapen.org/handle/20.500.12657/62049
        Keywords
        Literary studies: c 1900 to c 2000; Quantum physics (quantum mechanics and quantum field theory)
        DOI
        10.7298/c3bp-cw81
        ISBN
        9781501722974, 9781501722981, 9781501722974, 9781501727931, 9781501722981, 9780801417429
        Publisher
        Cornell University Press
        Publisher website
        https://www.cornellpress.cornell.edu/
        Publication date and place
        Ithaca, 1986
        Grantor
        • National Endowment for the Humanities - [...] - Open Book Program
        Imprint
        Cornell University Press
        Classification
        Literary studies: general
        Quantum physics (quantum mechanics and quantum field theory)
        Pages
        210
        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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