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    American Classics

    Evolutionary Perspectives

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    Author(s)
    Saunders, Judith
    Collection
    Knowledge Unlatched (KU)
    Number
    101021
    Language
    English
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    Abstract
    This collection of essays offers evolutionary psychological analysis of selected works from the American literary tradition. Application of evolutionary theory to writing by Ben Franklin, Nathaniel Hawthorne, Mark Twain, Walt Whitman, Edith Wharton, F. Scot Fitzgerald, Zora Neal Hurston, and others creates an interdisciplinary framework for examining key textual features—plot, theme, tone, setting, symbol, characterization, point of view—and at the same time provides an accessible introduction to Darwinian literary critical methodology. Pertinent scientific research, together with essential terms and concepts, is explained in context. Connections are made throughout to existing commentary on the targeted texts, illustrating how Darwinian scrutiny can enrich, extend, or reconfigure understandings derived from other critical approaches.
    URI
    http://library.oapen.org/handle/20.500.12657/29567
    Keywords
    Literature; Classic Literature; Evolution; American Literature; Essays; Evolutionary Theory; Literary Tradition; Darwinian literary critical methodology; Henry David Thoreau
    DOI
    10.2307/j.ctv4v3226
    ISBN
    9781618115928
    OCN
    1076657920
    Publisher
    Academic Studies Press
    Publisher website
    https://www.academicstudiespress.com/
    Publication date and place
    2018-06-30
    Grantor
    • Knowledge Unlatched - 101021 - KU Select 2017: Front list Collection
    Classification
    Literary studies: general
    Public remark
    Relevant Wikipedia pages: Evolution - https://en.wikipedia.org/wiki/Evolution; Henry David Thoreau - https://en.wikipedia.org/wiki/Henry_David_Thoreau
    Rights
    https://creativecommons.org/licenses/by-nc/4.0/legalcode
    • 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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