Une mémoire perfor[m]ée : pratique de l’énonciationde l’acteur dans les pièces de Daniel Daniset Christian Lapointe
Bibliographic record
Abstract
Consacré aux auteurs-praticiens québécois Daniel Danis et Christian Lapointe, cet article questionne la tendance du théâtre contemporain à privilégier une relation flexible de l’acteur à sa partition verbale. Il se concentre sur les stratégies discursives – crochets, phrases tronquées, etc. – présentes dans les pièces Mille anonymes et Sepsis, qui ébranlent tant le processus de mémorisation du texte que son énonciation sur le plateau, en les illustrant par des exemples concrets de pratiques d’acteurs. L’auteure s’attache ainsi à montrer comment certaines écritures dramaturgiques contribuent à redéfinir les modalités et la place de la mémoire verbale dans le jeu de l’acteur.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".