Bibliographic record
Abstract
In 1963, Luchino Visconti completed his Italian Risorgimento epic The Leopard (Il gattopardo, 1963) - one of the best Italian films ever made and a classic of world cinema. In it, the director conjures an era of aristocratic elegance and charm, his own world in fact, being swept away by the energetic and unscrupulous upstarts of the rising bourgeoisie - "the jackals and the sheep" - opportunistically surfing the waves of Garibaldi's popular uprising. This successful transformation into film of the spirit of Giuseppe Tomasi Di Lampedusa's outstanding novel was made possible by the participation of several exceptional artists: the scriptwriter Suso Cecchi D'Amico, without whose genius neither The Leopard nor much of the best post-war Italian cinema would exist; the cinematographer Giuseppe Rotunno; the composer Nino Rota; the costume designer Piero Tosi; the resplendent Claudia Cardinale, and, last but not least, the experienced Hollywood star Burt Lancaster whose magnificent...
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.387 | 0.126 |
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".