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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/10988
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dc.contributor.advisorBrown, Stevenen_US
dc.contributor.advisorLaurel Trainor, Jonathan Stoneen_US
dc.contributor.advisorLaurel Trainor, Jonathan Stoneen_US
dc.contributor.authorSavage, Patrick E.en_US
dc.date.accessioned2014-06-18T16:53:10Z-
dc.date.available2014-06-18T16:53:10Z-
dc.date.created2011-08-19en_US
dc.date.issued2011-10en_US
dc.identifier.otheropendissertations/5993en_US
dc.identifier.other6978en_US
dc.identifier.other2176826en_US
dc.identifier.urihttp://hdl.handle.net/11375/10988-
dc.description.abstract<p>The cross-cultural study of music is important to our understanding of the evolution of human biological and cultural diversity. Early comparative musicologists failed to develop rigorous scientific methods for studying this, and the modern-day fields of music cognition and ethnomusicology still lack such methods. In this thesis, I describe our attempts to design new methods for classifying and quantifying cross-cultural musical diversity and to apply these methods to the study of musical evolution and migration. Using a new method of classifying songs, we analyzed 421 songs from 16 indigenous tribes in Taiwan and the Philippines. We found striking parallels between musical and genetic diversity, both in the degree of diversity found within each culture and in the patterns of similarities between cultures. These findings suggest that music may be subject to similar processes of evolution and migration as are genes. A new, multidisciplinary, and scientifically-grounded comparative musicology may thus provide a new line of evidence to complement and integrate existing research into the complex relationship between music, biology, and culture.</p>en_US
dc.subjectMusicen_US
dc.subjectcultural evolutionen_US
dc.subjectmigrationen_US
dc.subjectgeneticsen_US
dc.subjectTaiwanen_US
dc.subjectCantometricsen_US
dc.subjectEthnomusicologyen_US
dc.subjectEthnomusicologyen_US
dc.titleMusical Evolution and Human Migration: Classification, Quantification, and Applicationen_US
dc.typethesisen_US
dc.contributor.departmentPsychologyen_US
dc.description.degreeMaster of Science (MSc)en_US
Appears in Collections:Open Access Dissertations and Theses

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