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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
2017 State Of The Visual Resources Association, Jen Green
2017 State Of The Visual Resources Association, Jen Green
Dartmouth Library Staff Publications
During the 2017 Annual Business Meeting of the Visual Resources Association in Louisville, Kentucky, the president highlighted the accomplishments and challenges of the Association in a state of the association presentation. This article provides the transcript.
Defining Dartmouth: Inclusion And Exclusion At Dartmouth College 1917-2017, Laura Barrett
Defining Dartmouth: Inclusion And Exclusion At Dartmouth College 1917-2017, Laura Barrett
Dartmouth Library Staff Publications
Dartmouth College’s demographics have shifted over the past one hundred years, from an almost entirely all male, white, and wealthy student body, to one with gender, racial, ethnic, and socioeconomic diversity. During this time, the College has endeavored to maintain its reputation as an academically exclusive institution for the intellectual elite while simultaneously opening its doors continually wider to a more diverse student population. These aspirations, for broad inclusivity within the bounds of narrow exclusivity, have frequently worked in opposition to one another, and Dartmouth’s administrators have led the College in a delicate balancing act amid shifting alumni demands, student …
Quantitative Criticism Of Literary Relationships, Joseph P. Dexter, Theodore Katz, Nilesh Tripuraneni, Tathagata Dasgupta, Ajay Kannan, James Brofos, Jorge A. Bonilla Lopez, Lea Schroeder
Quantitative Criticism Of Literary Relationships, Joseph P. Dexter, Theodore Katz, Nilesh Tripuraneni, Tathagata Dasgupta, Ajay Kannan, James Brofos, Jorge A. Bonilla Lopez, Lea Schroeder
Dartmouth Scholarship
Authors often convey meaning by referring to or imitating prior works of literature, a process that creates complex networks of literary relationships (“intertextuality”) and contributes to cultural evolution. In this paper, we use techniques from stylometry and machine learning to address subjective literary critical questions about Latin literature, a corpus marked by an extraordinary concentration of intertextuality. Our work, which we term “quantitative criticism,” focuses on case studies involving two influential Roman authors, the playwright Seneca and the historian Livy. We find that four plays related to but distinct from Seneca’s main writings are differentiated from the rest of the …