Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Language: English
Published by Cambridge University Press, GB, 2020
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
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This Element tackles the problem of generalization with respect to text-based evidence in the field of literary studies. When working with texts, how can we move, reliably and credibly, from individual observations to more general beliefs about the world? The onset of computational methods has highlighted major shortcomings of traditional approaches to texts when it comes to working with small samples of evidence. 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. It exemplifies the way mixed methods can be used in complementary fashion to develop nuanced, evidence-based arguments about complex disciplinary issues in a data-driven research environment.
Seller Inventory # LU-9781108926201
- Title
- Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
- Author
- Andrew Piper
- Publisher
- Cambridge University Press, GB
- Publication year
- 2020
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1108926207
- ISBN 13
- 9781108926201
- Item weight
- 144 grams
- Series
- Book 1 of 1: Elements in Digital Literary Studies
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Rarewaves.com USA
London, London, United Kingdom
AbeBooks seller since June 11, 2025
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