Bibliographic record
Abstract
ORSON WELLES AND ROUBEN MAMOULIAN: Dr. JEKYLL AND Mr. HYDE? At first glance the mention of these two directors in the title might sound preposterous or even blasphemous. Orson Welles has been enshrined in cinematic history as the child prodigy, as the genius who both epitomized and revolutionized the American cinema in the 40s. On the other hand, Rouben Mamoulian has been acknowledged as an innovator who, sadly enough, suffered the tragedy of running out of innovations eventually (Sarris 160). The verdict of the film historians as regards the importance and the status of these two filmmakers is so far remarkably clear and incontestable. My goal in this article is to begin to challenge some of the widely held assumptions regarding their work and bring to the surface an aspect of Mamoulian's contribution to cinema that remains to this date entirely overlooked. For Welles' Citizen Kane made in 1941...
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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 | 0.005 |
| 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 | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.110 | 0.029 |
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".