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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
part of the Elements in Digital Literary Studies series
- Binding:
- Paperback
- Pages:
- 75
- Published:
- November 18, 2020
- Dimensions:
- 227x150x9 mm.
- Weight:
- 142 g.
In stock
Delivery:
3-5 business days
Expected delivery: December 26, 2024
Extended return policy to January 30, 2025
Description of Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
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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