Two years ago, I designed and taught a graduate seminar on approaches to Literary Data. I was invited to contribute an essay on the course to Debates in the Digital Humanities. The essay was some time in the writing, and it will be some time longer in the publishing: the next DDH volume is now due to appear at the start of 2018. But by kind permission of the editors, I am able to share a preprint of my essay: Teaching Quantitative Methods: What Makes It Hard (in Literary Studies). If you quote it, please cite its forthcoming publication.
The essay explains the rationale of the course, which combined a practicum in computing with literary data using the R language with theories of literary data from structuralism to the present. My own evaluation of the course is quite mixed, and I offer my materials and my experience not as a model but as evidence for an argument about the conditions of possibility for a successful quantitative methods pedagogy in literary studies. Pedagogy, in this case, also raises serious questions for research; and I also hint at what I take to be the conditions for fruitful quantitative methodology tout court.
I couldn’t have wished for better students—that condition of possibility is indeed already realized. The major lessons I draw are (this is from the essay):
Cultivating technical facility with computer tools—including programming languages—should receive less attention than methodologies for analyzing quantitative or aggregative evidence. Despite the widespread DH interest in the former, it has little scholarly use without the latter.
Studying method requires pedagogically suitable material for study, but good teaching datasets do not exist. It will require communal effort to create them on the basis of existing research.
Following the “theory” model, DH has typically been inserted into curricula as a single-semester course. Yet as a training in method, the analysis of aggregate data will undoubtedly require more time, and a different rationale, than that offered by what Gerald Graff calls “the field-coverage principle” in the curriculum.
Some more remarks on the essay and the course follow after the jump.