Bibliographic record
Abstract
Face à la fragilité d’une mémoire, à la rareté des traces visuelles ou écrites, comment parvenir à retrouver une œuvre, à lui redonner vie et sens dans le présent ? Pour aborder, réactiver et transmettre la chorégraphie Éclats de Françoise Dupuy, j’ai avant tout puisé dans ma longue expérience de son travail, de sa poétique du mouvement et de son langage chorégraphique. Le va-et-vient constant entre pratique et théorie, re-production et ré-invention, la confrontation critique aux sources et le recours à la notation Laban comme outil d’analyse, ont été les moteurs du travail et de l’expérience partagée. Par les choix effectués, nous verrons en quoi ce travail s’est révélé à la fois archéologique et artisanal dans son processus, et comment il aura permis d’ouvrir un seuil (Louppe, 1994, p. 16) en apportant des outils, une démarche de recherche et de transmission liée à une pensée singulière de la culture chorégraphique.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.015 | 0.018 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".