Bibliographic record
Abstract
Saturé de couleurs vives, empruntant largement aux buffleteries et autres vareuses à brandebourgs chères aux militaires, le costume de cirque classique véhicule une troublante sensation à la fois de gaieté et de superficialité. Comme si la brillance contraignait l’émotion à ne s’épanouir qu’en surface… Constitué autour de cinq figures essentielles, le costume de cirque est, stricto sensu, basé sur des archétypes esthétiques. Avec l’émergence du cirque contemporain à la fin des années 1960, le vestiaire circassien va subir les affres de la mutation et s’affranchir d’un certain nombre des facilités qui ont contribué à le caractériser depuis le XIXe siècle. Le rouge, l’or et les paillettes se sont effacés au profit de tonalités sourdes et les acrobates privilégient désormais le noir, le brun, le gris et le blanc, à moins que la peau nue ne fasse à elle seule sens et sensation. C’est sans doute une élégante façon d’évacuer la dimension mortifère du cirque, implicitement liée aux origines guerrières du premier spectacle équestre, et d’affirmer ainsi de nouveaux codes d’identification et de lecture. Un effet de style qui est aussi sans doute une preuve de maturité.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.118 | 0.034 |
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".