A computational framework combining Kullback-Leibler divergence and embedding density estimation traces individual scholars' language against disciplinary knowledge evolution in 20th-century general relativity research.
Renn, The evolution of knowledge: Rethinking science for the Anthropocene, Princeton University Press, Princeton and Oxford, 2020
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Trajectories of Change: Approaches for Tracking Knowledge Evolution
A computational framework combining Kullback-Leibler divergence and embedding density estimation traces individual scholars' language against disciplinary knowledge evolution in 20th-century general relativity research.