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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
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The Experimental Composition Improvisation Continua Model: A Tool for Musical Analysis.

Alister Spence1

  • 1Lecturer in Music, School of Arts and Media, The Faculty of Arts, Design and Architecture, University of New South Wales, Sydney, NSW, Australia.

Frontiers in Psychology
|April 12, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces the Experimental Composition Improvisation Continua (ECIC) model to analyze experimental music practices. The ECIC model helps understand how composition and improvisation interact in contemporary experimental music.

Keywords:
composition-improvisation continuumcontingencyexperimental musicmusic compositionmusic improvisationmusic performancemusical creativity

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Area of Science:

  • Musicology
  • Composition Studies
  • Ethnomusicology

Background:

  • Contemporary musicians show renewed interest in experimental music (EM) practices that embrace contingency.
  • Unforeseen circumstances are key to sonic discovery in experimental music.
  • Historical Experimental Music movement and jazz tradition inform contingent musical practices.

Purpose of the Study:

  • To propose the Experimental Composition Improvisation Continua (ECIC) model.
  • To provide a framework for understanding experimental musical works.
  • To analyze the interplay between composition and improvisation in experimental music.

Main Methods:

  • The ECIC model is outlined to observe interactions between composition and improvisation.
  • The model examines the continuum between experimental and conventional music.
  • Case studies of three distinct musical works are used for analysis.

Main Results:

  • The ECIC model is applied to Satoko Fujii's "Spiral Staircase," John Cage's "4'33", and the John Coltrane Quartet's "My Favorite Things."
  • Analysis illuminates the presence and nature of experimental interactions within these works.
  • The study demonstrates the ECIC model's utility as an investigative tool.

Conclusions:

  • The ECIC model offers a valuable framework for analyzing experimental music.
  • Further applications of the ECIC model in music research are suggested.
  • The study contributes to understanding contingent practices in contemporary music.