In recent years, technological advances in creating, storing, and accessing digital facsimiles of print and manuscript documents has resulted in an explosion of digitization initiatives. While such initiatives commonly endorse the viewpoint that digital facsimiles either replace or successfully stand in for their physical originals, textual scholars, whose principle interest is in the text as material artifact, do not share this perspective. Thresholds of Engagement explores the ways textual scholars engage with textual artifacts, tests the limits of representation of digital facsimiles and of the interfaces that house them, and proposes a model for the relationship between physical texts and their digital counterparts that privileges the requirements of textual scholars. The digital-facsimile interface proposed in this study is designed to facilitate methods described by textual scholars in interview—methods of comparison, material analysis, pattern recognition, and modelling—using an open-source web-based approach that is accessible for individuals to innovate and build upon.

In recent years, technological advances in creating, storing, and accessing digital facsimiles of print and manuscript documents has resulted in an explosion of digitization initiatives. While such initiatives commonly endorse the viewpoint that digital facsimiles either replace or successfully stand in for their physical originals, textual scholars, whose principle interest is in the text as material artifact, do not share this perspective. Thresholds of Engagement explores the ways textual scholars engage with textual artifacts, tests the limits of representation of digital facsimiles and of the interfaces that house them, and proposes a model for the relationship between physical texts and their digital counterparts that privileges the requirements of textual scholars. The digital-facsimile interface proposed in this study is designed to facilitate methods described by textual scholars in interview—methods of comparison, material analysis, pattern recognition, and modelling—using an open-source web-based approach that is accessible for individuals to innovate and build upon.