A Companion to Literature and Film
Bibliographic record
Abstract
List of Illustrations. Notes on Contributors. Preface. Acknowledgments. 1. Novels, Films, and the Word/Image Wars: Kamilla Elliott (University of California at Berkeley). 2. Sacred Word, Profane Image: Theologies Of Adaptation: Ella Shohat (New York University). 3. Gospel Truth? From Cecil B. DeMille to Nicholas Ray: Pamela Grace (New York University). 4. Transecriture and Narrative Mediatics: The Stakes of Intermediality: Andre Gaudreault (University of Montreal) and Philippe Marion. 5. The Look: From Film to Novel: An Essay in Comparative Narratology: Francois Jost (Sorbonne). 6. Adaptation and Mis-adaptations: Film, Literature, and Social Discourses: Francesco Casetti (Catholic University of the Sacred Heart). 7. The Invisible Novelty: Film Adaptations in the 1910s: Yuri Tsivian (University of Chicago). 8. Italy and America: Pinocchio's First Cinematic Trip: Raffaele De Berti (University of Milan). 9. The Intertextuality of Early Cinema: A Prologue to Fantomas: Tom Gunning (University of Chicago). 10. Cosmopolitan Projections: World Literature on Chinese Screens: Zhang Zhen (New York University). 11. The Rhetoric of Interruption: Allen Weiss (New York University). 12. Visualizing The Voice: Joyce, Cinema And The Politics Of Vision: Luke Gibbons (University of Notre Dame). 13. Adapting Cinema to History: a Revolution in the Making: Dudley Andrew (Yale University). 14. Photographic Verismo, Cinematic Adaptation, and the Staging of a Neorealist Landscape: Noa Steimatsky (Yale University). 15. The Devil's Parody: Horace McCoy's Appropriation and Refiguration of Two Hollywood Musicals: Charles Musser (Yale University). 16. The Sociological Turn of Adaptation Studies: The Example of Film Noir: R. Barton Palmer (Clemson University). 17. Adapting Farewell, My Lovely: William Luhr (Columbia University). 18. Daphne du Maurier and Alfred Hitchcock: Richard Allen (New York University). 19. Running Time: The Chronotope of The Loneliness of the Long-Distance Runner: Peter Hitchcock (Baruch College, CUNY). 20. From Libertinage to Eric Rohmer: Transcending 'Adaptation': Maria Tortajada (University of Lausanne). 21. The Moment of Portraiture: Scorsese Reads Wharton: Brigitte Peucker (Yale University). 22. The Talented Post-structuralist: Hetero-masculinity, Gay Artifice, and Class Passing: Chris Straayer (New York University). 23. From Bram Stoker's Dracula to Bram Stoker's Dracula: Margaret Montalbano (New York University). 24. The Bible as Cultural Object[s] in Cinema: Gavriel Moses (University of California at Berkeley). 25. All's Wells that Ends Wells: Apocalypse and Empire in The War of the Worlds: Julian Cornell (New York University). Index
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.454 | 0.270 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".