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Record W2799973667 · doi:10.5965/2595034701102013042

La mise en scène – créer et enseigner

2018· article· fr· W2799973667 on OpenAlexaboutno aff
Irina Niculescu

Bibliographic record

VenueMóin-Móin Revista de estudos sobre teatro de formas animadas · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.084
GPT teacher head0.413
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueMóin-Móin Revista de estudos sobre teatro de formas animadasSame topicEducation, sociology, and vocational trainingFrench-language works237,207