Un écosystème numérique au service du patrimoine théâtral d’Ancien Régime
Bibliographic record
Abstract
Né en 2008, le programme « Registres de la Comédie-Française » (RCF) est l’un des premiers projets en humanités numériques portant sur l’histoire des spectacles anciens. Il repose sur la création d’un écosystème numérique mettant en valeur une partie de la collection d’archives anciennes conservées à la bibliothèque-musée de la Comédie-Française. L’objet de cet article est de présenter les questionnements qui ont conduit à la forme actuelle du programme, en revenant sur les choix et les étapes qui ont jalonné son histoire. Il s’agit aussi de s’interroger sur les apports d’une telle entreprise pour la réflexion critique sur les usages du numérique appliqué aux archives et aux sciences humaines, pour les connaissances et les méthodes en histoire du théâtre, pour la valorisation du patrimoine de la Comédie-Française et du spectacle vivant.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".