Bibliographic record
Abstract
La récente acquisition par la BnF d’un dactylogramme annoté inédit d’Henri Lavedan révèle une nouvelle variante du scénario de l’Assassinat du duc de Guise qu’il écrivit pour le Film d’Art et qui fut tourné en 1908 par Charles Le Bargy et André Calmettes. Les différents changements, ajouts ou transformations témoignent de la volonté de l’écrivain de jouer avec les attentes du spectateur en mêlant les émotions, démarche dont on trouve maints exemples dans l’écriture pour la scène autour de 1900 et qui est développée ici avec une richesse et une subtilité totalement inhabituelles alors dans les films cinématographiques. Par ses retouches successives, ce document suggère le plaisir qu’Henri Lavedan a eu à travailler le premier tableau, celui où il était libre de laisser cours à son imagination théâtrale, alors qu’il s’est obligé dans les tableaux suivants à suivre de très près sa documentation historique.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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".