Introduction au dossier thématique
Bibliographic record
Abstract
Les travaux sur l’innovation collaborative suscitent l’intérêt croissant de nombreux académiques, professionnels et responsables politiques. Ce concept, pourtant proche de celui bien connu d’innovation ouverte, reste peu exploré dans la littérature. Il est en effet question de s’intéresser davantage aux approches relationnelles entre les organisations au détriment d’une approche plus rationnelle et normative. Sous l’angle des paradoxes que suscitent la mise en oeuvre de l’innovation collaborative dans différents contextes, nous mettons en lumière divers questionnements associés à cette notion (création de valeur, pratique des PME, organisation interne/externe, espaces ouverts de collaboration, technologies numériques et politiques publiques). Notre objectif est d’offrir de nouvelles perspectives de recherche représentant un renouvellement des premières vagues des recherches sur l’innovation ouverte
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.097 | 0.029 |
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".