African-American Composers for the Concert Saxophone: A Look at Three Prolific Composers

African-American composers within the field of classical music have made very profound contributions to the literature. In the field of chamber music, Scott Joplin, William Grant Still, Adolphus Hailstork and other composers illustrious composers have created an established and well-documented body of repertoire for many orchestral wind instruments. The saxophone repertoire, however, has not been developed as fully due to its limited tradition as an orchestral instrument and its prominence in the tradition of jazz and popular music. African-American composers in particular appear to be significantly under-represented within the standard concert saxophone literature. My personal experiences with saxophone repertoire in academic settings, solo recitals, conferences and in surveys of standard repertoire from nationally-recognized saxophone teachers support this assertion. There are many African-American composers who have made substantial contributions to the body of repertoire for the concert saxophone. This dissertation examines the works of three prolific African-American composers for the concert saxophone; Dr. Yusef A. Lateef, Andrew N. White III, and Dr. David N. Baker. All have composed more than five separate works featuring the concert saxophone. This project comprises three recitals, each dedicated to one of the three composers selected for this dissertation. Each recital presented will present their compositions featuring the saxophone as a soloist with various types of accompaniment. The project also includes newly-created piano reductions of Dr. David Baker's works for saxophone and orchestra made collaboratively with Baker and arranger John Leszczynski.

Developing Quantitative Methodologies for the Digital Humanities: A Case Study of 20th Century American Commentary on Russian Literature

Using scientific methods in the humanities is at the forefront of objective literary analysis. However, processing big data is particularly complex when the subject matter is qualitative rather than numerical. Large volumes of text require specialized tools to produce quantifiable data from ideas and sentiments. Our team researched the extent to which tools such as Weka and MALLET can test hypotheses about qualitative information. We examined the claim that literary commentary exists within political environments and used US periodical articles concerning Russian literature in the early twentieth century as a case study. These tools generated useful quantitative data that allowed us to run stepwise binary logistic regressions. These statistical tests allowed for time series experiments using sea change and emergency models of history, as well as classification experiments with regard to author characteristics, social issues, and sentiment expressed. Both types of experiments supported our claim with varying degrees, but more importantly served as a definitive demonstration that digitally enhanced quantitative forms of analysis can apply to qualitative data. Our findings set the foundation for further experiments in the emerging field of digital humanities.