Editors’ Summary: This article argues that bespoke code used in digital humanities research should be treated as a core part of scholarly output rather than treated as invisible technical labor. It introduces defactoring, a method of close reading and restructuring, to reveal a project’s underlying computational narrative. The authors demonstrate this approach by unpacking the code behind a literary analysis study, showing how code, data, and prose intertwine. Ultimately, they call for new scholarly practices that integrate code directly into academic discourse.
Editors’ Choice: Defactoring Pace of Change
