Bibliographic record
Abstract
Cet article introduit le sommaire et présente les contributions de Violaine Anger (Évry) sur Roméo et Juliette d’Hecto Berlioz ; d’Eddy Banaré (Nouvelle Calédonie) sur Le Dernier Crépuscule de Pierre Gope et les discours sur l’émancipation kanak ; de Marie Cléren (Caen et Paris IV) sur les Bühnenkompositionen de Vassily Kandinsky ; de Pauline Donizeau (Nanterre) sur No Time for Art de Laila Soliman dans le contexte de la révolution égyptienne de 2011 ; d’Antoine Doré (Nanterre) sur l’oralité aux yeux des auteurs dramatiques contemporains ; de Marion Grébert (Paris IV) sur le son dans la mise en scène des fantômes ; de Pierre-Louis Rosenfeld (Paris III) sur l’assassinat de Concino Concini en 1617 sur l’ordre de Louis XIII et ses représentations ; de Cristina Tosetto (Bologne, Paris III et Bordeaux) sur la théâtralité dans « Le théâtre de Baudelaire » de Barthes et de Cécile Vilvandre (Toulouse II) sur le théâtre d’entreprise depuis les années 1980 au Canada et en France.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".