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Autorenporträt
Andrew Piper is Professor and William Dawson Scholar in the Department of Languages, Literatures, and Cultures at McGill University. He is the director of .txtLAB, a laboratory for cultural analytics, and editor of the Journal of Cultural Analytics. He is also the author of Enumerations: Data and Literary Study (Chicago 2018).
Inhaltsangabe
Introduction, or What's Wrong with Literary Studies? Part I. Theory: 1. Probable Cause Part II. Evidence Eve Kraicer, Nicholas King, Emma Ebowe, Matthew Hunter, Victoria Svaikovsky, and Sunyam Bagga 2. Machine Learning as a Collaborative Process 3. Results Part III. Discussion: 4. Don't Generalize (from Case Studies): The Case for Open Generalization 5. Don't Generalize (At All): The Case for the Open Mind Conclusion: On the Mutuality of Method.
Introduction, or What's Wrong with Literary Studies? Part I. Theory: 1. Probable Cause Part II. Evidence Eve Kraicer, Nicholas King, Emma Ebowe, Matthew Hunter, Victoria Svaikovsky, and Sunyam Bagga 2. Machine Learning as a Collaborative Process 3. Results Part III. Discussion: 4. Don't Generalize (from Case Studies): The Case for Open Generalization 5. Don't Generalize (At All): The Case for the Open Mind Conclusion: On the Mutuality of Method.
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