Développer des capacités hautement créatives dans les entreprises : le cas des laboratoires d’innovation ouverte
Bibliographic record
Abstract
Cet article analyse les capacités hautement créatives comme un ensemble de ressources et compétences permettant d’accéder à une variété de connaissances distantes, de les articuler et de préserver leur redondance pour aboutir à des idées nouvelles et originales. Basé sur une étude de cas exploratoire sur les laboratoires d’innovation ouverte de trois grandes entreprises françaises, cet article se propose d’étudier la nature de ces capacités et le design organisationnel mis en place dans un contexte d’innovation ouverte. Les résultats permettent d’analyser le caractère distribué de ces ressources dans un espace inter-organisationnel et le nouvel équilibre entre contrôle / liberté pour les exploiter.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".