Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Piper, Andrew (McGill University
Description
This Element combines a machine learning-based approach to detect the prevalence and nature of generalization across tens of thousands of sentences from different disciplines alongside a robust discussion of potential solutions to the problem of the generalizability of textual evidence.
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