Can we be wrong? the problem of textual evidence in a time of data, paperback/andrew piper

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.

Illustrations: Worked examples or Exercises; 13 Line drawings, black and white.