Can We Be Wrong? The Problem Of Textual Evidence In A Time Of Data

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.

• | By (Author): Andrew (Mcgill University, Montreal) Piper
• | Publisher: Cambridge University Press
• | Publication Date: Nov 19, 2020
• | Country of Publication: United Kingdom
• | Number of Pages: 75 pages
• | Language: Unknown
• | Binding: Softback
• | ISBN-10: 1108926207
• | ISBN-13: 9781108926201