Partir de la blessure : une lecture du film <i>En corps </i>de Cédric Klapisch
Bibliographic record
Abstract
Elise se blesse en dansant un grand ballet classique sur la scène de l’opéra. C’est sur cet évènement traumatisant que s’ouvre le film En corps de Cédric Klapisch. Nous voyons ensuite Elise pleurer, errer, puis se relever au sein d’une compagnie de danse contemporaine. Le film dessine, tantôt explicitement, tantôt plus souterrainement, une ligne tout à la fois esthétique, éthique et pédagogique : elle consiste à partir de la blessure plutôt que de l’idéal. Il s’agit de passer d’un imaginaire de la sphère une et harmonieuse à l’acceptation d’une dispersion propice à la recherche, au désir, à la création et à la multiplication d’expériences esth-éthiques qui nourrissent la production artistique autant que la vie morale. L’idée éducative telle qu’elle structure les écoles depuis l’origine se trouve ainsi prise à contre-pied et un nouveau chemin éducatif possible s’ouvre pour nos sociétés éclatées.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 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".