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        A Narratological Approach to Lists in Detective Fiction

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        Author(s)
        Link, Sarah J.
        Collection
        European Research Council (ERC)
        Language
        English
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        Abstract
        This open access book examines how the form of the list features as a tool for meaning-making in the genre of detective fiction from the nineteenth to the twenty-first century. The book analyzes how both readers and detectives rely on listing as an ordering and structuring tool, and highlights the crucial role that lists assume in the reading process. It extends the boundaries of an emerging field dedicated to the study of lists in literature and caters to a newly revived interest in form and New Formalist approaches in narratological research. The central aim of this book is to show how detective fiction makes use of lists in order to frame various conceptions of knowledge. The frames created by these lists are crucial to decoding the texts, and they can be used to demonstrate how readers can be engaged in the act of detection or manipulated into accepting certain propositions in the text.
        URI
        https://library.oapen.org/handle/20.500.12657/63904
        Keywords
        Crime Fiction; detective fiction; lists; list-making; cognitive narratology
        DOI
        10.1007/978-3-031-33227-2
        ISBN
        9783031332272, 9783031332272, 9783031332265
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2023
        Grantor
        • H2020 European Research Council - 715021 Research grant informationFind all documents
        Imprint
        Palgrave Macmillan
        Series
        Crime Files,
        Classification
        Literary studies: c 1900 to c 2000
        Literary theory
        Philosophy: epistemology and theory of knowledge
        Pages
        206
        Rights
        http://creativecommons.org/licenses/by/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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