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Wrong Problem Textual Evidence by Piper Andrew (21 results)
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Can We Be Wrong? the Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
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Can We Be Wrong? the Problem of Textual Evidence in a Time of Data (Paperback or Softback)
Published by Cambridge University Press 11/19/2020, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
Paperback or Softback. Condition: New. Can We Be Wrong? the Problem of Textual Evidence in a Time of Data 0.28. Book.
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Elements in Digital Literary Studies)
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Elements in Digital Literary Studies)
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
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Can We Be Wrong? the Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
US$ 28.68
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Paperback)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Elements in Digital Literary Studies)
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Elements in Digital Literary Studies)
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Elements in Digital Literary Studies)
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
Condition: New. pp. 75.
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Elements in Digital Literary Studies)
Published by Cambridge University Press 2020-08-31, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
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Can We Be Wrong? the Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
Condition: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Elements in Digital Literary Studies)
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
US$ 41.42
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Can We Be Wrong? the Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Paperback)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
US$ 45.32
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Paperback)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
US$ 35.42
Convert currencyUS$ 49.92 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketCondition: New. 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 general.
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press Nov 2020, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
US$ 33.52
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Add to basketTaschenbuch. Condition: Neu. Neuware - 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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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 30.08
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 144.
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Can We Be Wrong? The Problem of Textual Evidence in a Time of Data
Published by Cambridge University Press, 2020
ISBN 10: 1108926207 ISBN 13: 9781108926201
Language: English
US$ 24.37
Convert currencyUS$ 33.73 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 75 pages. 8.75x6.00x0.25 inches. In Stock. This item is printed on demand.
