Music binder's volumes, or collections of sheet music typically bound by women in the nineteenth century, constitute an informative and underutilized set of historical artifacts. Each binder's volume can be viewed as a Spotify playlist frozen in time. An individual volume contains more than just the volume's individual pieces; it also holds the marginalia, the choices women made on what to include in a binder, and information on where and how music was produced. This dissertation examines music binder's volumes quantitatively, processing information found in binder's volumes by using the MARC and other cataloguing data to construct a relational database. …
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Music binder's volumes, or collections of sheet music typically bound by women in the nineteenth century, constitute an informative and underutilized set of historical artifacts. Each binder's volume can be viewed as a Spotify playlist frozen in time. An individual volume contains more than just the volume's individual pieces; it also holds the marginalia, the choices women made on what to include in a binder, and information on where and how music was produced. This dissertation examines music binder's volumes quantitatively, processing information found in binder's volumes by using the MARC and other cataloguing data to construct a relational database. I engage with broad questions of music publishing and consumption and provide a method to contextualize qualitative results on a larger scale. In doing so, I make two distinct contributions to music research and the digital humanities. First, this project offers a clear path for engaging with music binder's volumes and material history of nineteenth-century America in ways that scholars have rarely engaged in prior to this point. I highlight how data analysis provides new framings for binder's volumes and for sheet music consumption both at the song-level and at larger levels of the data. Second, and more broadly, this project serves as a framework for engaging in digital projects on multifaceted items that can be difficult to catalog and process. I describe in detail the metadata schema, methodological concerns in establishing a database, and data cleaning process in a way that provides transparency for the project and can also serve as a starting point for others considering data projects in the digital humanities.
This dissertation is part of the following collection of related materials.
UNT Theses and Dissertations
Theses and dissertations represent a wealth of scholarly and artistic content created by masters and doctoral students in the degree-seeking process. Some ETDs in this collection are restricted to use by the UNT community.
