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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/32577
Title: Beyond the binary and linearity: A continuum model of modality and nonlinear approaches to musical emotion
Authors: Zhou, Jackie Zhi Qi
Advisor: Schutz, Michael
Department: Psychology
Publication Date: 2026
Abstract: Mode and emotion are central to the expressive power of music, yet both present challenges for empirical study. This thesis advances understanding in two complementary ways. The first study reconsiders mode, a foundational property of tonal music traditionally treated as a binary distinction between “major” and “minor.” Using a corpus of 72 piano preludes by Bach, Chopin, and Shostakovich, we conceptualise relative mode as a spectrum and evaluate it across three approaches: perceptual, analytical, and computational. Results show moderate-to-strong alignment between the approaches, with even untrained listeners demonstrating sensitivity to granular modality. Further findings indicate that expert analyses are the most discriminating, however, computational estimates provide a scalable alternative with alignment to other approaches. Together, these results establish relative mode as a perceptually valid and computationally accessible construct for music cognition, theory, and information retrieval. The second study examines whether traditional linear models suffice for explaining emotional responses across both the common-practice period (CPP; ~1650–1900) and later repertoire. We compare linear and nonlinear regression techniques in predicting valence ratings of preludes by Bach and Chopin (CPP) as well as Shostakovich and Debussy (non-CPP), using four well-established musical properties: relative mode, attack rate, pitch height, and amplitude. Results showed that linear and nonlinear models performed similarly for CPP composers. In contrast, nonlinear approaches substantially outperformed linear ones for Shostakovich and especially for Debussy, whose harmonically ambiguous and stylistically innovative preludes served as a case study for the benefits of nonlinear modeling. These findings demonstrate that although linear models are sufficient for CPP repertoire, capturing emotional responses to non-CPP music—particularly Debussy—requires more flexible, nonlinear approaches.
URI: http://hdl.handle.net/11375/32577
Appears in Collections:Open Access Dissertations and Theses

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