“…These library classification systems are large-scale, hierarchical examples of human categorization that are directly accessible and much more amenable to computational analysis than the category systems that all of us carry around in our heads. Focusing on library classification also allows us to connect our approach with a large body of existing work in the library and information sciences devoted to uncovering and mitigating bias in the LCC (Angell & Price, 2012 ; Howard & Knowlton, 2018 ; Intner & Futas, 1996 ; Kam, 2007 ; Rogers, 1993 ), the DDC (Higgins, 2016 ; Kua, 2008 ; Olson & Ward, 1997 ; Westenberg, 2022 ), or both (Mai, 2010 ; Zins & Santos, 2011 ). Category systems, especially more formal systems like library classifications, are often perceived as neutral or objective, making it all the more important to develop methods that enable us to quantify and thus acknowledge and address the biases that may be implicit in these systems.…”