Mondialisation, diversité culturelle et alliances stratégiques : le cas du théâtre québécois à l'étranger
Bibliographic record
Abstract
Cette recherche aborde la thematique de la diffusion internationale d'oeuvres theâtrales. La question centrale peut se resumer de la facon suivante : Quels sont les facteurs de succes expliquant la reussite de la diffusion des arts de la scene a l'echelle globale a l'heure de la diversite culturelle et de la mondialisation des activites humaines et des economies ?. Afin de repondre adequatement a cette question, nous avons procede en plusieurs phases. La premiere consiste en une revue de litterature sur les alliances strategiques internationales dans un contexte de mondialisation. Nous avons ensuite degage un cadre theorique exprime en variable cles. Puis, nous avons rapproche ces variables des caracteristiques des compagnies de theâtre quebecoises dont les oeuvres sont les plus diffuses a l'etranger dans le but de mettre en evidence les facteurs qui expliquent le mieux la capacite de diffuser globalement pour quatre cas compagnies soit : Ex-machina, Les deux Mondes, Sans Fil et Ubu. Nous avons egalement cerne les enjeux associes a la diversite culturelle dans le contexte de mondialisation en tant qu'observateur participant a une conference mondiale et un panel specialise en la matiere.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".