has a wonderful example-of the profound consequences of seemingly mundane Classification decisions (i.e., infrastructure). They're focused on the consequences for social justice, but the consequences for siloing knowledge and contributing to Scatter (because of hte nature of a filing/classification system) are plain to me too.
strikes me as a really interesting example-of Z: Organize by using, and to a fuzzier extent (through alignment of incentives between you doing something and you creating some computationally useful trace) Z: Prefer to accrete new infrastructures on top of existing ones
While digging through Utrecht University Library 400+ Tools and Innovations in Scholarly Communication Tools, came across sys/Mark2Cure, a heartbreaking example-of the inadequacy of the [[specialized curator model of semantic publishing]] (in this case, via citizen science)
fictitious (yet easily recognizable) scenario that is an example-of how scientists need to "fight" the scholarly communication infrastructure to find answers to their questions because Z: Most scholarly communication infrastructure operates on the document as the base unit
Powerful example-of a complex query that can't be answered in existing document-centric infrastructure: "Find all the findings that analyse why the number of women in academia falls more sharply than the number of men after their first child, using qualitative and quantitative methodologies"