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    How Musical Rhythm Reveals Human Attitudes

    An Annotated Translation by Nigel Nettheim

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    Author(s)
    Nettheim, Nigel
    Language
    English
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    Abstract
    What is the broadest significance of musical rhythm? Human attitudes to the world are reflected in it, according to Gustav Becking. Writing in the 1920s, Becking proposed a novel method of finding systematic differences of attitude between individual composers, between nations, and between historical time periods. He dealt throughout with Western classical music, from the period approximately 1600-1900. His method was to observe in fine detail the pattern of motion and pressure traced out by a small baton allowed to move in sympathy with a given musical excerpt. The various patterns arising for individual composers were represented graphically, and in that form became known as «Becking curves». Implications were touched upon in psychology, sociology and philosophy. His thesis is now published in English translation from the original German for the first time, with many annotations.
    URI
    https://library.oapen.org/handle/20.500.12657/63432
    Keywords
    Aesthetics, Theory of Art, Poetics; Analysis; Annotated; Attitude and Role; Attitudes; History of Musical Periods; History of Styles, Forms and Genres; Human; Krakauer; Musical; Nettheim; Nigel; Peter; Reveals; Rhythm; Translation
    ISBN
    9783034346917, 9783034303088, 9783034346917
    Publisher
    Peter Lang International Academic Publishers
    Publisher website
    https://www.peterlang.com/
    Publication date and place
    Bern, 2011
    Series
    Varia Musicologica, 16
    Classification
    Theory of music and musicology
    Music reviews and criticism
    Music: styles and genres
    Philosophy: aesthetics
    Behaviourism, Behavioural theory
    Pages
    340
    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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