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]

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]

Numbers appear to have limited value for literary study, since our discipline is usually more concerned to explore differences of interpretation than to describe the objective features of literary works. But it may be time to re-examine the assumption that numbers are only useful for objective description. Machine learning algorithms are actually…[Read more]

Numbers appear to have limited value for literary study, since our discipline is usually more concerned to explore differences of interpretation than to describe the objective features of literary works. But it may be time to re-examine the assumption that numbers are only useful for objective description. Machine learning algorithms are actually…[Read more]

Numbers appear to have limited value for literary study, since our discipline is usually more concerned to explore differences of interpretation than to describe the objective features of literary works. But it may be time to re-examine the assumption that numbers are only useful for objective description. Machine learning algorithms are actually…[Read more]

Numbers appear to have limited value for literary study, since our discipline is usually more concerned to explore differences of interpretation than to describe the objective features of literary works. But it may be time to re-examine the assumption that numbers are only useful for objective description. Machine learning algorithms are actually…[Read more]

This report describes a collection of 210,305 volumes of fiction that researchers are encouraged to borrow for their own work. Alternately, readers can simply browse the report as a description of English-language fiction in HathiTrust Digital Library. For instance, how does the proportion of fiction written by British authors or by women change…[Read more]

This report describes a collection of 210,305 volumes of fiction that researchers are encouraged to borrow for their own work. Alternately, readers can simply browse the report as a description of English-language fiction in HathiTrust Digital Library. For instance, how does the proportion of fiction written by British authors or by women change…[Read more]

A description of how I employ video games and RPGs, especially open-world online games, to harness student curiosity and foster an interest in research-based assignments in literature and humanities courses. Talk was presented to a K-16 audience with emphasis on K-12 teaching, but assignments work well at 9-12 and undergraduate university levels.

A description of how I employ video games and RPGs, especially open-world online games, to harness student curiosity and foster an interest in research-based assignments in literature and humanities courses. Talk was presented to a K-16 audience with emphasis on K-12 teaching, but assignments work well at 9-12 and undergraduate university levels.

A description of how I employ video games and RPGs, especially open-world online games, to harness student curiosity and foster an interest in research-based assignments in literature and humanities courses. Talk was presented to a K-16 audience with emphasis on K-12 teaching, but assignments work well at 9-12 and undergraduate university levels.

A description of how I employ video games and RPGs, especially open-world online games, to harness student curiosity and foster an interest in research-based assignments in literature and humanities courses. Talk was presented to a K-16 audience with emphasis on K-12 teaching, but assignments work well at 9-12 and undergraduate university levels.