Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Andrew (McGill University, Montreal) Piper
Cambridge University Press, 2020
31,95 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9781108926201
- ISBN-10
- 1108926207
- Publisher
- Cambridge University Press
- Year
- 2020
- Publication date
- 2020-11-19
- Pages
- 86
- Dimensions
- 150x227x9
- Weight
- 142