Bibliographic record
Abstract
Born in Warsaw in 1897 to a Jewish Franco-Polish family, Jean Epstein was an early queer filmmaker, poet, and theorist. Epstein is best remembered for the innovative camerawork and editing techniques in his interpretation of Edgar Allen Poe’s The Fall of the House of Usher (La Chute de la Maison Usher, 1928). Epstein’s engagement with cinematic form ranged from rhythm-based impressionist editing in Coeur fidéle (The Faithful Heart, 1923), to experimental sound work in Le Tempestaire (The Storm Master, 1947), and his writings on the concept of photogénie. Epstein’s theoretical reflections on the interwar period dovetailed with film criticism’s shift toward ontology and attention to the transformative effects of the moving image on perception and knowledge. Epstein spent his formative years in Switzerland before moving to France in 1917 to study medicine. His interests soon turned toward cinema following contact with Louis and Auguste Lumière. Epstein made forty-four films between 1922 and 1948, all while publishing prolifically. He released three full books and founded the arts journal Promenoir before moving to Paris in 1922. His relocation coincided with the gathering of many impressionist filmmakers and artists in France—including the young Luis Buñuel, who apprenticed on two of Epstein’s films.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".