Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Can We Be Wrong? The Problem of Textual Evidence in a Time of Data

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

Piper, Andrew

Paperback

Series: Elements in Digital Literary Studies

Literary Criticism

ISBN10: 1108926207
ISBN13: 9781108926201
Publisher: Cambridge University Press
Published: Nov 19 2020
Pages: 86
Weight: 0.28
Height: 0.18 Width: 6.00 Depth: 9.00
Language: English
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.

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