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  5. 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 - Andrew (McGill University Piper - Bog

af Andrew (McGill University Piper

indgår i Elements in Digital Literary Studies serien

Can We Be Wrong? The Problem of Textual Evidence in a Time of Data af Andrew (McGill University Piper
Bag om 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781108926201
  • Indbinding:
  • Paperback
  • Sideantal:
  • 75
  • Udgivet:
  • 19. november 2020
  • Størrelse:
  • 227x150x9 mm.
  • Vægt:
  • 142 g.
  • 8-11 hverdage.
  • 15. januar 2025
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Forlænget returret til d. 31. januar 2025
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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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