Le Québec économique 2010 : Vers un plan de croissance pour le Québec
Bibliographic record
Abstract
Edited by Marcelin Joanis and Luc Godbout While Quebec was hit less severely than elsewhere by the last recession, it still faces significant economic challenges before the recession: the impending contraction of the pool of potential workers, collective wealth lower than that of its neighbours, too modest productivity growth, too high a dropout rate, etc. To meet the many challenges of economic growth, Quebec must be bold and innovative while building on its recent successes. This book examines the various economic challenges facing Quebec today. In the first part, renowned university researchers and Quebec personalities present their point of view in an accessible way and contribute their thoughts on the factors that foster economic growth, from human capital to savings, innovation and the role of government. With the help of some fifty thematic sheets containing the most relevant indicators, the second part provides readers with key figures to decipher the major trends in the Québec economy. To order the monograph, click "here " Sous la direction de Marcelin Joanis et Luc Godbout Si le Québec a été frappé moins durement qu'ailleurs par la dernière récession, il fait toujours face aux importants défis économiques qui se posaient avant la récession : la contraction prochaine du bassin de travailleurs potentiels, une richesse collective inférieure à celle de ses voisins, la croissance trop modeste de la productivité, un taux de décrochage scolaire trop élevé, etc. Pour relever les nombreux défis de la croissance économique, le Québec doit faire preuve d'audace et d'innovation tout en mettant à profits ses succès récents. Le présent ouvrage examine les différents défis économiques auxquels le Québec est confronté aujourd'hui. Dans la première partie, des chercheurs universitaires reconnus ainsi que des personnalités québécoises présentent de façon accessible leur point de vue et apportent leur réflexion sur les facteurs qui favorisent la croissance économique, du capital humain à l'épargne en passant par l'innovation et le rôle du gouvernement. À l'aide d'une cinquantaine de fiches thématiques regroupant les indicateurs les plus pertinents, la deuxième partie fournit aux lecteurs les chiffresclés pour décrypter les grandes tendances de l'économie québécoise. Pour commander la monographie, cliquez ici "
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.043 | 0.007 |
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".