To ask about the field is really to ask how or what DH knows, and what it allows us to know. The answer, it turns out, is not much. Let’s begin with the tension between promise and product. Any neophyte to digital-humanities literature notices its extravagant rhetoric of exuberance. The field may be "transforming long-established disciplines like history or literary criticism," according to a Stanford Literary Lab email likely unread or disregarded by a majority in those disciplines. Laura Mandell, director of the Initiative for Digital Humanities, Media, and Culture at Texas A&M University, promises to break "the book format" without explaining why one might want to — even as books, against all predictions, doggedly persist, filling the airplane-hanger-sized warehouses of Amazon.com.
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The Dark Secret at the Heart of AI - MIT Technology Review - 0 views
Boyer- Enlarging the Perspective.pdf - 2 views
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Boyer outlines four types of scholarship, with implications for DP&S' work. Boyer notes that scholarship is often equated with research, and argues here for a more flexible, open-minded approach to definitions of scholarship, reminding us that "scholarship in earlier times referred to a variety of creative work carried on in a variety of places, and its integrity was measured by the ability to think, communicate, and learn." The crux of his argument is what he sees as the relationship between theory and practice, which enable and reinforce one another. Outlining four types of scholarship-discovery, integration, application, and teaching-Boyer makes it clear that scholarship is more than siloed, disciplinary research. It also includes those activities which make the findings of scholarship comprehensible to others, and the application of those findings to specific problems beyond the Ivory Tower. In Boyer's four-part model, discovery is essentially research, i.e., the creation of new knowledge. Integration involves drawing connections between existing knowledges, and making those knowledges intelligible to audiences outside the academy. Application is the use of scholarly understanding to answer questions and solve problems. It overlaps to some extent with the notion of service, though not all service is scholarship: "To be considered scholarship, service activities must be tied directly to one's special field of knowledge and relate to, and flow directly out of, this professional activity. Such service is serious, demanding work, requiting the rigor-and the accountability-traditionally associated with research activities." Teaching, the final component of Boyer's model, is self-evident, and for him "teaching, at its best, means not only transmitting knowledge, but transforming and extending it as well."
The Digital-Humanities Bust - The Chronicle of Higher Education - 0 views
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A similar shortfall is evident when digital humanists turn to straight literary criticism. "Distant reading," a method of studying novels without reading them, uses computer scanning to search for "units that are much smaller or much larger than the text" (in Franco Moretti’s words) — tropes, at one end, genres or systems, at the other. One of the most intelligent examples of the technique is Richard Jean So and Andrew Piper’s 2016 Atlantic article, "How Has the MFA Changed the American Novel?" (based on their research for articles published in academic journals). The authors set out to quantify "how similar authors were across a range of literary aspects, including diction, style, theme, setting." But they never cite exactly what the computers were asked to quantify. In the real world of novels, after all, style, theme, and character are often achieved relationally — that is, without leaving a trace in words or phrases recognizable as patterns by a program.
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Perhaps toward that end, So, an assistant professor of English at the University of Chicago, wrote an elaborate article in Critical Inquiry with Hoyt Long (also of Chicago) on the uses of machine learning and "literary pattern recognition" in the study of modernist haiku poetry. Here they actually do specify what they instructed programmers to look for, and what computers actually counted. But the explanation introduces new problems that somehow escape the authors. By their own admission, some of their interpretations derive from what they knew "in advance"; hence the findings do not need the data and, as a result, are somewhat pointless. After 30 pages of highly technical discussion, the payoff is to tell us that haikus have formal features different from other short poems. We already knew that.
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