Bibliographic record
Abstract
I can think of no topic more central to film studies than 'Cinema and Modernity.' Facet after facet of both terms gleams when rotated in the intermittent light of this fascinating anthology. --Dudley Andrew, professor of film studies and comparative literature, Yale University This book amply confirms cinema's continuing vitality in the modern world...I can't imagine a film scholar who would not find something of value in this rich anthology. --Scott Bukatman, author of Matters of Gravity: Special Effects and Supermen in the 20th Century The modern impulse gave us captivating technology and dark anxiety, rampant mobility and a world filled with strangers, the futuristic city and a fragmentation of experience. Motion pictures--the quintessence of modernism--entered into this cultural, technical, and philosophical richness with a vast public appeal and a jarring new vision of what life could be. In Cinema and Modernity, Murray Pomerance brings together new essays by seventeen leading scholars to explore the complexity of the essential connection between film and modernity. Among the many films considered are Detour, Shock Corridor, The Last Laugh, Experiment in Terror, The Great Dictator, Leave Her to Heaven, The Talented Mr. Ripley, Eyes Wide Shut, Sunrise, The Crowd, The Shape of Things to Come, The War of the Worlds, The Day the Earth Stood Still, Scarlet Street, Shadow of a Doubt, Stella Dallas, The Blue Angel, Sullivan's Travels, and Catch Me If You Can. Murray Pomerance is a professor and chair in the sociology department at Ryerson University in Toronto. He is the coeditor of the Screen Decades series and the author of numerous books, including Johnny Depp Starts Here and An Eye for Hitchcock.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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".