La médiation culturelle numérique et le théâtre francophone au Canada en début de pandémie
Bibliographic record
Abstract
Des efforts majeurs ont été déployés par les organismes artistiques pour faire de la médiation culturelle une approche privilégiée du développement culturel des francophonies minoritaires du Canada. Cet article relate les résultats d’une enquête quantitative et qualitative sur l’usage du numérique dans les activités de médiation culturelle des compagnies de théâtre francophones du Canada à l’été 2020. Il met à l’épreuve certains outils développés au Laboratoire de recherche sur les publics de la culture de l’Université du Québec à Trois-Rivières pour une enquête similaire sur les dispositifs numériques de médiation culturelle mis en place dans les arts de la scène (cirque, danse, théâtre) au Québec. L’étude cherche à saisir l’envergure du virage numérique qui s’est opéré dans les compagnies de théâtre francophones du Canada et à comprendre la particularité de la médiation culturelle numérique de ces institutions de langue officielle en milieu minoritaire, notamment le surtitrage et l’éducation.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.020 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".