Once Upon A Time In America de Sergio Leone, un hommage à l'œuvre culte A Clockwork Orangede Stanley Kubrick
Bibliographic record
Abstract
Abstract: Once Upon a Time in America (1984) by Sergio Leone registers in part as a celebration of Stanley Kubrick’s cult classic, A Clockwork Orange(1971). Indeed, the baby-switching sequence in the nursery, ‘‘Chief’s bouncing baby’’, is more than a mere nod to Kubrick : it is a useful point of entry for analysing elements the two films have in common, particularly their music. This article examines the effect achieved when a celebration of cult is incorporated into production of another work, and thereby allows for an examination of questions of authority, especially as they relate to the individuality of the auteur. Resume: Once Upon a Time in America (1984) de Sergio Leone s’inscrit en partie comme une celebration cultiste du film A Clockwork Orange(1971) de Stanley Kubrick. En effet, la sequence de l’echange des bebes a la pouponniere, ‘Chief’s bouncing baby’, depasse le simple clin d’œil a Kubrick : voila une piste pour analyser nombre d’elements communs aux deux œuvres, particulierement la musique. Le point de vue adopte montre l’effet produit quand une celebration du culte passe par la production d’une œuvre, cela permet d’aborder la question de l’autorite, de la singularite de l’auteur.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".