From Curiosity to Wealth Creation: How University Research can Boost Economic Growth
Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
Technological and scientific research are crucial to long-term economic growth. Canadians are three times as rich today as 50 years ago thanks to new products and processes. The source of technological innovation is research and development (R&D), most of which takes place in the private sector of the economy. University research, however, is the source of the basic building blocks of many of the core sectors of the economy, in everything from information technology to pharmaceuticals to much more. It is crucial for economic growth that the innovations that occur at Canadian universities get commercialized and find their way into the rest of economy. Canadian universities lag behind their US counterparts in generating technology transfer between academic research and companies. With innovation and productivity at the forefront of the Canadian public policy agenda, it is crucial that governments create the right incentives for university researchers to pursue research that can eventually be commercialized. Rather than governments directing researchers to pursue business-related research, the overarching priority for Canada should be to attract the best researchers in the world. Though it may seem paradoxical, the evidence supports the view that the greatest benefit to society will come from scientists for whom practical utility and individual financial reward are minor considerations. The best way to attract such scientists to Canada is to redirect our research support towards the problems that are most challenging from a scientific point of view, not towards those that bureaucrats view as most likely to lead to commercial success. Although the federal and provincial governments are taking steps to encourage the commercialization of research, they should go further by: • requiring that all federally funded research papers appear in open access online repositories; • developing a template available to all university researchers that outlines the terms of commercialization – such as intellectual property rights or revenues – between universities, researchers and their business partners; and • building on recent reforms to the National Research Council that make it more business-oriented, but with the eventual goal of making it a pan-Canadian technology transfer institution, leaving federal funding for research to granting organizations. Since business R&D has been falling as a share of the Canadian economy, and is a critical input to the commercialization of university research, it is also important that Canadian governments take measures to encourage Canadian businesses to invest in the commercialization process.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle