« Un pied dans le devoir, un pied dans le désir » : les didascalies de Jean Anouilh
Bibliographic record
Abstract
Les indications scéniques d’Anouilh sont moins précises que ce à quoi on pourrait s’attendre de la part d’un auteur passé à la mise en scène, amoureux des planches et héritier du Cartel. Seule exception : les indications concernant le jeu des comédiens, largement et finement défini. Anouilh, fidèle à certains principes dramaturgiques ainsi qu’à une pose qu’il affectionne, n’est pas un didascale technique ni minutieux. En revanche, il propose des indications qui échappent au canon, offrant au lecteur tantôt un peu de poésie de théâtre, tantôt un peu de liant quasi narratif, tantôt un peu de lest pédagogique. En fin de compte, la didascalie boite « un pied dans le devoir, un pied dans le désir », soit un pied dans le réel (la vocation scénique) et un pied dans le rêve (l’horizon littéraire).
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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 | 0.009 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".