Final Archaeological Investigations at the Maynard-Burgess House (18AP64): An 1850-1980 African-American Household in Annapolis, Maryland

The Maynard-Burgess House was excavated by Archaeology in Annapolis from Fall, 1990 to Summer, 1992. The still-standing house is located at 163 Duke of Gloucester Street in Annapolis' Historic District and is today being restored by Port of Annapolis, Incorporated. Archaeological testing and excavation of the site was developed alongside architectural analyses and archival research as the initial phase of the home's restoration. The Maynard-Burgess House was continuously occupied by two African-American families, the Maynards and the Burgesses, from the 1850s until the late 1980s. The main block of the house was built between 1850 and 1858 by the household of John T. Maynard, a free African American born in 1810,and his wife Maria Spencer Maynard. Maynard descendants lived in the home until it was foreclosed in 1908 and subsequently sold to the family of Willis and Mary Burgess in 1915. Willis had been a boarder in the home in 1880, and his sister Martha Ready had married John and Maria's son John Henry. Burgess descendants lived at the home until its sale in 1990.

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.