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            The Matrix of Lyric Transformation

            Poetic Modes and Self-Presentation in Early Chinese Pentasyllabic Poetry

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            Auteur
            Cai, Zong-qi
            Cai, Zong-qu
            Language
            English; Chinese
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            Résumé
            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://doab-dev.siscern.org/handle/20.500.12854/181006
            Keywords
            Sociology and anthropology; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology
            DOI
            10.3998/mpub.19985
            Publisher
            University of Michigan Press
            Publisher website
            http://www.press.umich.edu/
            Publication date and place
            Ann Arbor, 2020
            Grantor
            • Andrew W. Mellon Foundation
            • National Endowment for the Humanities
            Imprint
            U OF M CENTER FOR CHINESE STUDIES
            Series
            Michigan Monographs In Chinese Studies,
            Pages
            273
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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