Les effets des parcs scientifiques sur le processus d’innovation des entreprises : une étude de cas dans la province de Québec
Bibliographic record
Abstract
L’objectif principal de cette recherche est d’examiner les effets de l’implantation d’une entreprise dans un parc scientifique sur son processus d’innovation. Cette recherche exploratoire s’appuie sur une étude qualitative auprès de 12 répondants établis dans les parcs scientifiques de la province de Québec. Les résultats de cette recherche ont permis non seulement d’avancer les connaissances sur les effets des parcs scientifiques sur le développement de l’innovation, mais également sur les effets de chacune des phases du processus simplifié d’innovation, soit : la phase de conception, la phase de développement et la phase de commercialisation. D’un point de vue managérial, les dirigeants d’entreprise peuvent mieux comprendre ces effets et ainsi en tenir compte dans leurs décisions lors du développement de produits ou technologies.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".