Les effets autorenforçants de la coopération et des capacités d’innovation : une étude de PME françaises
Bibliographic record
Abstract
Cet article s’intéresse aux liens entre la coopération et l’innovation au sein des PME. La mobilisation d’une approche de l’organisation à dominante cognitive conduit à envisager ce lien de manière duale : l’innovation peut être considérée comme un résultat des interactions coopératives ou comme une condition de la coopération. Notre étude des PME, par la confrontation de données statistiques et d’études de cas, met en évidence certaines singularités dans les pratiques coopératives de ces petites organisations. Si les capacités d’absorption des firmes déterminent leur recours aux partenariats, l’impact de ceux-ci sur l’innovation reste plus variable : les synergies potentielles associées aux complémentarités des compétences semblent sous-exploitées et l’innovation émerge de manière nettement plus induite que délibérée et contrôlée.
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".