• Modelling music: a theoretical approach to the classification of notated Western art music

    Author(s):
    Deborah Lee (see profile)
    Date:
    2017
    Group(s):
    CityLIS
    Subject(s):
    Library and information science, Library science, Music
    Item Type:
    Thesis
    Institution:
    City, University of London
    Tag(s):
    #CityLis, #classification, #knowledgeorganization, #musicclassification
    Permanent URL:
    http://dx.doi.org/10.17613/M6BB7B
    Abstract:
    The classification of notated Western art music is a perennial issue. This thesis analyses and models the knowledge organization of notated Western art music in order to elucidate a theoretical understanding of these classification issues and to offer new ways of viewing music classification in the future. It also offers a domain-based study of music classification, by comparing LIS and music domain classifications of music phenomena throughout the thesis, which culminates in a new model for delineating types of relationships between domain and LIS classifications. Furthermore, in the process of analysing music classification, the thesis originates a number of novel classification analysis methodologies and innovative classification structures which contribute to the general development of knowledge organization. These include the multiplane approach, reception-infused analysis, webs of Wirkungs (connections) between classification schemes, stress-testing, simultaneous systems of classification and dynamic relationships between facets. After unpicking the major facets of music, subsequent chapters explore the binary vocal/instrumental categorisation, complex mediums including accompaniment and arrangements, the classification of musical instruments, the classification of musical forms and genres, and the quasi-facet of function. The thesis culminates in five models which illuminate why music is so difficult to classify, as well as presenting novel solutions showing how music classification could be structured in the future.
    Notes:
    Unpublished doctoral thesis, awarded in May 2017, Department of Library and Information Science, City, University of London
    Metadata:
    Status:
    Published
    Last Updated:
    5 months ago
    License:
    All Rights Reserved

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