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

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