Bibliographic record
Abstract
Ce livre met en exergue ce qui se loge dans l’ombre du geste dansant à partir d’une ethnographie des processus de création de trois compagnies suisses : Nicole Seiler, Massimo Furlan/Numéro23Prod, deRothfils. L’anthropologue s’est intéressée au processus de fabrication d’oeuvres chorégraphiques qui abordent des questions existentielles. Angoisse, solitude, rapports entre morts et vivants, ces performances mettent en scène des ombres sous la forme d’esprits, de fantômes et de monstres. Enrichie par une pratique personnelle de la danse, cette recherche est née d’une anthropologie phénoménologique. La proximité avec les danseur.euse.s et chorégraphes a introduit la chercheuse au coeur des préoccupations de la création chorégraphique, et l’a amenée à partager les joies et les douleurs des corps affectés. En dialogue avec les études en danse, cet ouvrage contribue aux théories sociales du corps et des sensations.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.877 | 0.835 |
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".