I am interested in the seemingly contradictory ideas of ambiguity and classification. Many of the readings this week (particularly Emily Drabinski’s piece) highlighted the idea of fluidity, or the ability for items in the archive to transcend the organizational system within they are placed, as critical in overcoming the inherent inability for a classification system to adapt well to different contexts, viewers, time periods, etc at a satisfactory level/pace. How do we design fluidity into a system that operates on the exact opposite? Although I feel Drabinski’s piece addressed the question, I don’t feel like it offered any actionable alternatives. Another idea that I see brought up throughout the readings and in the structure of both the Prelinger Library and the Cybernetics Library, is this idea of designing for serendipity. I view it as tangentially related to this question of fluidity in that they both embrace a sense of subjectivity instead of seeking unattainable objectivity. Although the Prelinger Library is technically organized by geography, I feel that the novelty of this organization principle warrants a more subjective categorization of the items in the library (in comparison to some other well-established and perhaps more granular system). But the cybernetics library is very much related to this idea of ambiguity/fluidity in that it is literally configured to change over time, and through both the actions of the librarians and the patrons.( I am still a bit unclear on the virtual component of the cybernetics library so I will leave that out of the discussion for now)
I also, had a thought about Kate Crawford’s talk when she mentions that the majority of the Faces in the Wild dataset is male and white. As someone who is neither white nor male, I’m not sure if this is a context in which I necessarily feel bad about lack of representation! My face can stay obscure haha.