Some literary scholars have claimed that predictive models can measure the strength of the boundaries that separate different cultural categories—genres, for instance, or market segments. But interpreting textual models as evidence about the strength of a cultural distinction has seemed a questionable move to many readers. We use book reviews to t…[Read more]

The Digits team (Matt Burton, Matthew J. Lavin, Jessica Otis, and Scott B. Weingart) convened around the question of how we might share, preserve, and legitimize scholarship freed from the affordances of print. For the A.W. Mellon-funded Digits Planning Grant (2016-2018), the PIs had three goals:

– Investigate the use of software containers for…[Read more]