Les réseaux de l'innovation dans les PMI : illustration sur le cas de l'Alsace
Bibliographic record
Abstract
Cet article examine la notion de réseau territorialisé d'innovation à la lumière d’une enquête menée auprès d’un échantillon de 161 entreprises de moins de 500 salariés, représentatif du tissu industriel alsacien. On met en évidence la variété des réseaux contribuant au processus d’innovation des firmes et surtout la forte disparité de leurs projections géographiques. Aussi bien pour les réseaux de partenariat formel (accords) que pour les relations informelles, la proximité géographique ne semble pas toujours jouer un rôle de premier plan ou, du moins, les effets de proximité sont variables selon le type d’interaction que l’on considère. D’où la difficulté de parler d’un territoire ou d’un milieu innovant proprement alsacien. L’idée d’un réseau transfrontalier dans le bassin du Rhin supérieur n’est pas non plus confortée par l’observation, sauf sur des points très précis.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".