Uuve Jansson, trapéziste en ballant
Bibliographic record
Abstract
Uuve (Hanna) Jansson, originaire de Suède, repousse les limites des enchaînements de pirouettes et de chutes autour d’un trapèze qu’elle maîtrise si parfaitement qu’elle paraît à peine toucher. Sa légèreté, la fluidité de ses figures et sa virtuosité, rappellent une autre artiste, révélée lors de la 10 e édition du festival parisien : la trapéziste Elena Panova. Deux trajectoires marquées à quelques années d’écart par une même rencontre, celle de Victor Fomine. Uuve Jansson travaille d’abord avec Sergueï Kardionarov à l’école de cirque de Stockholm – Cirkus Cirkör – puis avec Victor Fomine à l’École nationale de cirque de Montréal. Ce même Victor Fomine qui avait accompagné Elena Panova à l’École des Arts du cirque de Moscou à la fin des années 1980, aux côtés de Teresa Dourova pour le regard artistique
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.348 | 0.021 |
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; both teacher heads agree on what is shown here.
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".