Poésie oralisée et performée : quel objet, quels savoirs, quels enseignements ?
Bibliographic record
Abstract
La poésie oralisée et performée convoque des signes oraux et physiques, préparés par la poétique du texte, et mis en voix et en corps par un sujet-performeur. Certaines pratiques relevant de ce domaine sont présentes dans les classes, sans que celui-ci ne soit vraiment perçu comme objet d’enseignement. Quels savoirs et compétences identifier pour que ce domaine soit saisi comme objet à enseigner ? Sur quelles pratiques s’appuyer pour former des sujets-auditeurs, interprètes et performeurs ? La question est examinée à travers l’analyse comparée des programmes français et québécois, l’étude de pratiques ordinaires de classe, et une expérimentation menée en France et au Québec. Ainsi sont identifiées les dimensions d’un objet spécifique à la discipline français, constituées à partir de savoirs issus des sphères universitaires et scolaires, ainsi que des pratiques sociales.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".