Disambiguating ambiguity Or, Looking beyond uncertainty as the source of ambiguity in description systems

Abstract: Representation both signals presence and advocates for resources; how we approach this work is informed by the context in which it takes place. In cultural heritage institutions (CHIs), items are represented through catalog records, which are shaped by a variety of infrastructures from standards to software. These structured descriptions, which inventory and facilitate access to items while marking their role as members of a collection, must signal the unique identity of each item, disambiguating each from similar others. In knowledge organization, and classification theory particularly, disambiguation is treated primarily as a process of moving from uncertainty to certainty. By mapping the terrain in which these surrogates are made and inviting practitioners in the field to share challenges encountered in their work, this dissertation asks what it means for something to be ambiguous in structured description.

Examples of friction and ambiguity from the field extend beyond experiences of temporary uncertainty. Working through technical and ethical issues, often with inadequate resources to attend to challenging cases, practitioners explore a variety of interventions for addressing the limitations of description systems. This dissertation contributes a framework for investigating the frictions of representation in CHIs and beyond. Doing so may help us to imagine alternative approaches to this work and to advocate for a variety of resources that can support items, collections, institutions, and the practitioners on whose labor this work relies.

Supervisory Committee

Chair: Joseph Tennis, Professor, iSchool, University of Washington
GSR: Christine Harold, Professor, Department of Communication, University of Washington
Member: Marika Cifor, Assistant Professor, iSchool, University of Washington
Member: David Levy, Professor, iSchool, University of Washington
Member: Melanie Feinberg, Associate Professor, School of Library and Information Science, University of North Carolina at Chapel Hill