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Concept
Systematic musicology
Summary
Systematic musicology is an umbrella term, used mainly in Central Europe, for several subdisciplines and paradigms of musicology. "Systematic musicology has traditionally been conceived of as an interdisciplinary science, whose aim it is to explore the foundations of music from different points of view, such as acoustics, physiology, psychology, anthropology, music theory, sociology, and aesthetics." The most important subdisciplines today are music psychology, sociomusicology (music sociology), philosophy of music (music philosophy), music acoustics (physics of music), cognitive neuroscience of music, and the computer sciences of music (including sound and music computing, music information retrieval, and computing in musicology). These subdisciplines and paradigms tend to address questions about music in general, rather than specific manifestations of music. In the Springer Handbook of Systematic Musicology, "(the) sections follow the main topics in the field, Musical Acoustics, Signal Processing, Music Psychology, Psychophysics/Psychoacoustics, and Music Ethnology while also taking recent research trends into consideration, like Embodied Music Cognition and Media Applications. Other topics, like Music Theory or Philosophy of Music are incorporated in the respective sections."
In the European tripartite model of musicology, musicology is regarded as a combination of three broad subdisciplines: ethnomusicology, music history (or historical musicology), and systematic musicology. Ethnomusicology and historical musicology are primarily concerned with specific manifestations of music such as performances, works, traditions, genres, and the people who produce and engage with them (musicians, composers, social groups). Systematic musicology is different in that it tends not to put these specific manifestations in the foreground, although it of course refers to them. Instead, more general questions are asked about music. These questions tend to be answered either by analysing empirical data (based on observation) or by developing theory – or better, by a combination of both.
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