Tester des attractions, penser le film musical. Le studio de la Paramount à Astoria (1929-19311)
Bibliographic record
Abstract
Cet article cherche à mettre en lumière la dimension expérimentale conférée par la Paramount à son studio new-yorkais durant les premières années du cinéma sonore. Par l’analyse de l’évolution des processus de production et des stratégies publicitaires de la Paramount, il examine la manière dont celle-ci profite de la proximité géographique de son studio d’Astoria avec les ressources de Broadway pour en faire un espace de recherche et d’expérimentation sur la musicalité au cinéma, notamment en ce qui a trait au potentiel cinématographique des divers types d’attractions musicales scéniques et à leurs modalités d’inscription dans le long métrage de fiction. Il vise ainsi à montrer la place prépondérante occupée par les ressources théâtrales dans l’établissement des formes du cinéma musical.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 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".