Graphic Score Interpretation Ecology (GSIE)
Modelling Distributed Creativity in Contemporary Sound Practice
Keywords:
Graphic Score; Artistic Research; Knowledge Production; Experimental Music; Interpretation Ecology; Practice-Based Research; Human–AI Co-Creation; Creativity, Graphic scores, interpretation, artistic research, ecology, indeterminacy, performance studies, creative practiceAbstract
This article proposes Graphic Score Interpretation Ecology (GSIE) as a framework for
analysing interpretation in graphic-score-based sound practice. Drawing on the DAILY
project, in which nineteen participants produced distinct works from the same set of
graphic scores, the study addresses a central problem: how meaning emerges when
notation does not prescribe outcome. Rather than treating interpretation as a process of
decoding, GSIE models it as a dynamic system involving visual, embodied, cultural,
technological, and creative dimensions. The paper argues that graphic scores function as
generative systems that organise conditions for distributed creativity. This perspective
contributes to sound-based artistic research by providing a framework for understanding
variability, interaction and knowledge production in contemporary compositional
environments.
