Bibliographic record
Abstract
Irina Niculescu est metteur en scène d’origine roumaine. Elle étudie la mise en scène et obtient sa maîtrise a l’Académie des Arts de Prague. Elle débute commemetteur en scène au théâtre Tandarica de Bucarest. Elle dédie son travail de création, de recherche et d’enseignement au théâtre de marionnettes qu’elle approche dans sa diversité de formes. Elle crée des spectacles et enseigne la mise en scène dans de nombreux pays d’Europe, aux États Unis, Canada, Argentine et Taiwan. Elle partage sa démarche théâtrale, ses réflexions sur la transmission du savoir. Elle essaye de répondre a la question: «est-ce que la mise en scène s’enseigne?», formule sa pensée pédagogique et ses questionnements.Mots-clés: Théâtre de marionnettes. Mise en scène au théàtre. Pédagogie du théâtre
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".