Bibliographic record
Abstract
Les projets de nombreux gouvernements pour promouvoir l’innovation industrielle à rintérieur des PME ont pour objectif d’encourager les relations de ces dernières avec la recherche fondamentale. Le manque de chercheurs et d’ingénieurs qualifiés constitue un des freins majeurs aux relations des PME avec la recherche fondamentale. Par contre, des études de cas sectorielles montrent que la plupart des PME souhaitant utiliser cette ressource peuvent habituellement le faire. Les cas étudiés montrent aussi que les besoins de PME en recherche fondamentale et le type de connaissances requises sont variés. Les politiques soutenant les relations des PME avec la recherche du secteur public devraient tenir compte de ces constats. En effet, il se peut que le choix réussi de certains plans spécifiques soit en relation avec des exemples de projets qui coïncident fortuitement avec les besoins d’un secteur donné. L’absence, dans des domaines particuliers, de la recherche scientifique publique est un autre frein significatif aux relations universités- entreprises.
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 | 0.042 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.039 | 0.010 |
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".