Bibliographic record
Abstract
En laissant de côté toute idée de décor ou d’espace minimum nécessaire (pour que l’action ait lieu), comment entreprendre une analyse scénographique de La Mort de Molière ? Partant du constat que la nature des images mais plus encore leur succession et leur répétition semblent contenir un sens que ni le texte ni l’événement historique auquel il est fait ici référence ne peuvent révéler, la présente étude s’emploie à résoudre cette énigme, en réalisant un découpage graphique plan par plan. À la lumière de ces croquis, qui semblent écrire un véritable glossaire de la scénographie contemporaine, apparaissent des espaces multiples et imbriqués, dont l’agencement, dans le lieu technique et unique du studio de tournage, offre une autre lecture de l’oeuvre, une réflexion sur l’éphémère et la pérennité de l’art vivant du théâtre, figé par la mémoire, la nostalgie, … et la caméra.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.048 | 0.004 |
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".