Devenir avec l’environnement : pratiques attentionnelles de mise en relation en danse et performance au Québec
Bibliographic record
Abstract
Cet article propose un plongeon dans la pratique de quatre artistes en danse et performance au Québec dont les approches font écho au champ émergent des écosomatiques : Lara Kramer, Kerwin Barrington, Lucy Fandel et Hanna Sybille Müller. Elles développent, chacune à leur manière, des pratiques attentionnelles de mise en relation avec l’environnement desquelles émergent des états dansants de joie dans une reliance à toute chose. Ces pratiques conduisent à une transformation des artistes dans un devenir avec l’environnement. Par des mises en relation du réel et de l’imaginaire, elles offrent de nouveaux récits incorporés, donnant à vivre et à sentir d’autres possibles relationnels et existentiels.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.016 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".