D’une interdisciplinarité-processus à une interdisciplinarité-oeuvre : La très excellente et lamentable tragédie de Roméo et Juliette de Catherine Gaudet et Jérémie Niel
Bibliographic record
Abstract
En 2016, le metteur en scène Jérémie Niel et la chorégraphe Catherine Gaudet présentaient leur pièce La très excellente et lamentable tragédie de Roméo et Juliette à l’Usine C (Montréal). Retraçant les propos des deux artistes tenus lors du colloque Alternatives interdisciplinaires : de l’identité des arts vivants (GRIAV, 2016), nous analysons dans cet article comment cette rencontre interdisciplinaire a pu se construire dans un dialogisme relationnel face à la question du disciplinaire, dans une interdisciplinarité-processus tout d’abord basée sur les savoir-faire de chacun en studio et dans une interdisciplinarité-oeuvre ensuite exprimée dans une production hétéromorphe soucieuse de sortir de toute catégorisation possible.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.035 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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.
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".