Bibliographic record
Abstract
Cet article tente d’esquisser un bilan des principaux apports théoriques et empiriques des recherches menées depuis 1984 à partir du concept de milieu innovateur. Ce concept a été utilisé pour étudier les interactions entre les comportements innovateurs des firmes, les processus d’organisation et de dynamique industrielle et l’environnement territorial. Il sera l’occasion de réexaminer l’évolution de la problématique, de spécifier les apports et de souligner l’originalité de la démarche. Cette mise en perspective permettra de confronter les travaux sur les milieux innovateurs avec d’autres démarches, d’en souligner la complémentarité, les points d’accord et éventuellement les divergences. Cette revue des débats permettra de définir la notion de milieu innovateur, de la replacer dans une problématique plus large relative à l’analyse des dynamiques industrielles localisées pour finalement dégager de nouvelles pistes de recherches.
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 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".