Can We Be Wrong? The Problem of Textual Evidence in a Time of Data

Piper, Andrew (McGill University

Omschrijving

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.
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Schrijver
Piper, Andrew (McGill University
Titel
Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Uitgever
Cambridge University Press
Jaar
2020
Taal
Engels
Pagina's
75
Gewicht
142 gr
EAN
9781108926201
Afmetingen
229 x 152 x 9 mm
Bindwijze
Paperback / softback

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