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    The Matrix of Lyric Transformation

    Poetic Modes and Self-Presentation in Early Chinese Pentasyllabic Poetry

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    Author(s)
    Cai, Zong-qi
    Cai, Zong-qu
    Language
    English; Chinese
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    Abstract
    Pentasyllabic poetry has been a focus of critical study since the appearance of the earliest works of Chinese literary criticism in the Six Dynasties period. Throughout the subsequent dynasties, traditional Chinese critics continued to examine pentasyllabic poetry as a leading poetic type and to compile various comprehensive anthologies of it. The Matrix of Lyric Transformation enriches this tradition, using modern analytical methods to explore issues of self-expression and to trace the early formal, thematic, and generic developments of this poetic form. Beginning with a discussion of the Yüeh-fu and ku-shih genres of the Han period, Cai Zong-qi introdues the analytical framework of modes from Western literary criticism to show how the pentasyllabic poetry changed over time. He argues that changing practices of poetic composition effected a shift from a dramatic mode typical of folk compositions to a narrative mode and finally to lyric and symbolic modes developed in literati circles.
    URI
    https://library.oapen.org/handle/20.500.12657/41841
    Keywords
    Sociology and anthropology
    DOI
    10.3998/mpub.19985
    Publisher
    University of Michigan Press
    Publisher website
    https://www.press.umich.edu/
    Publication date and place
    Ann Arbor, 2020
    Grantor
    • National Endowment for the Humanities - [grantnumber unknown]
    • Andrew W. Mellon Foundation - [grantnumber unknown]
    Imprint
    U OF M CENTER FOR CHINESE STUDIES
    Series
    Michigan Monographs In Chinese Studies, 75
    Classification
    Sociology and anthropology
    Pages
    273
    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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