L’adaptation cinématographique comme héritage aporétique : l’hantologie shakespearienne dans Ran d’Akira Kurosawa
Bibliographic record
Abstract
Cet article a pour objet le film Ran d’Akira Kurosawa (1985), qui se veut une adaptation de la pièce King Lear de William Shakespeare. Il s’agit ici d’étudier ce qui se passe (ou ce qui ne passe pas) entre l’oeuvre originale et son adaptation, mais aussi dans leurs intrigues respectives. Loin de se limiter à voir l’oeuvre cinématographique japonaise comme la simple traduction transculturelle d’une pièce de théâtre occidentale, cet article reprend la notion d’hantologie de Jacques Derrida et propose de voir réapparaître en Ran ce qu’a toujours été la pièce shakespearienne : une fable portant sur une certaine impossibilité d’hériter, ou encore sur l’absence d’héritage pris comme héritage.
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 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".