Bibliographic record
Abstract
In the last decade, the playwright and director Gianina Cărbunariu has become one of the prominent young voices in contemporary European theatre. Mihaela, the Tiger of Our Town, which premiered at the Royal Dramatic Theatre in Stockholm, will be performed at the 2016 Avignon festival by Sweden's Jupither Josephsson Company. Other plays include Stop the Tempo, For Sale, Typographic Letters, Solitarity, Metro is Everywhere, and mady-baby.edu (later titled Kebab). The plays have been translated into more than fifteen languages, and they have been performed in Romanian cities and in theatres across Europe, in Berlin, Munich, Paris, Madrid, Brussels, Vienna, Athens, Warsaw, Budapest, Dublin, and elsewhere in Moscow, Istanbul, Santiago de Chile, New York, and Montreal. Cărbunariu has had residencies at the Lark Theatre in New York and London's Royal Court. Her plays and productions have received numerous awards in Romania and in Canada. She is a founding member of the dramAcum independent theatre group in Bucharest. This interview was taped in New York City on December 19, 2015.
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.021 | 0.057 |
| Scholarly communication | 0.024 | 0.016 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".