Former pour entretenir et développer la créativité de l'entreprise : les leçons du Cirque du Soleil
Bibliographic record
Abstract
Cet article présente les particularités et les enjeux de la formation des athlètes-artistes du Cirque du Soleil. Il dévoile les coulisses d’une transformation propre à l’entreprise : le passage de l’athlète à l’artiste. Ce cas illustre comment une organisation peut préserver et améliorer sa créativité grâce à la formation de ses recrues. À travers cette recherche, nous mettons en avant les conditions de succès à respecter pour favoriser l’intégration et le plein engagement du personnel dans une culture de créativité : faire de la formation pour accompagner le développement de l’entreprise, favoriser le développement personnel à travers la créativité dans une tâche spécifique, mettre l’accent sur la pratique, construire une culture de la rétroaction incitative et lutter contre l’érosion des apprentissages.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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".