The tension between binary thinking and the fluidity of identity has long been featured in discussions of definition in computational practice within galleries, libraries, archives, and museums. Nowhere is this more evident than in how data systems attempt to categorize — or fail to categorize — 2SLGBTQIA+ subjects. Metadata schemas, survey tools, and classification structures often rely on rigid dichotomies, such as male/female, known/unknown, or 1/0. (read more...)