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

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.