Can we be wrong? the problem of textual evidence in a time of data
Auteur :
Piper, Andrew
Éditeur :
Cambridge University Press
ISBN :
9781108926201
Date de publication :
19 nov. 2020
Dimensions :
22,8 x 15,2 x 0,6 cm
Poids :
144 g
Format :
Trade paperback (US)
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.