Changement et Business développement : changer les organisations avec les start-up
Bibliographic record
Abstract
L’accélération du changement est telle, notamment dans le digital, que les entreprises sont obligées d’externaliser leur structure d’innovation. L’inertie et les forces inhibitrices des systèmes limitent structurellement la capacité des organisations à répondre aux évolutions des marchés. En réponse à cette contrainte et exigence, les organisations externalisent tout ou partie de leur innovation en développant des incubateurs (internes et externes) de start-up et de spin-off. Ces structures plus agiles et réactives développent plus rapidement les innovations et utilisent les accès aux marchés des organisations plus matures dans une logique de business développement. Les Start-ups deviennent alors des outils d’innovation mais aussi de transformation pour les entreprises qui peuvent les développer de manière indépendante ou les réintégrer pour faire évoluer leur organisation.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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; 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".