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Record W2468081760

Maximiser le potentiel économique du Québec - 13 réflexions

2016· preprint· fr· W2468081760 on OpenAlexaboutno aff
Mario Lefebvre, Marcelin Joanis, Luc Godbout, Jean‐Pierre Aubry, Jean-Claude Cloutier, Jean‐Michel Cousineau, François Delorme, Pierre Fortin, Thérèse Laflèche, Jean-Luc Landry, Jean-Pierre Lessard, Pierre‐Paul Proulx, Yves St-Maurice

Bibliographic record

VenueRePEc: Research Papers in Economics · 2016
Typepreprint
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The ageing of the population and the acceleration of economic growth in emerging countries, particularly China, have led many economists to say that the time has now come to see economic growth in developed countries slow down. Some even talk about a new standard, indicating that this slower growth will be a permanent phenomenon and that it is better to get used to it. Where is Quebec in all this? What decisions must be made by our leaders to maximize, in this context, the province's economic potential in the short, medium and long term? In an attempt to answer these major questions, this book calls on 13 economists, who have given themselves the mandate to write a practical guide. The recommendations are clear and the analysis made is accessible to all readers who want to know more about Quebec's economic future. From the "Point de mire sur le Québec économique" series, edited by Mario Lefebvre with Marcelin Joanis and Luc Godbout and published by Presses de l'Université Laval (PUL), the book is available electronically via the PUL website or in bookstores. Le vieillissement de la population et l’accélération de la croissance économique dans les pays émergents, notamment la Chine, font dire à plusieurs économistes que l’heure est maintenant venue de voir ralentir la croissance économique dans les pays développés. Certains parlent même d’une nouvelle norme, indiquant que cette croissance plus lente sera un phénomène permanent et qu’il vaut mieux s’y habituer. Où se situe le Québec dans tout cela? Quelles décisions doivent être prises par nos dirigeants afin de maximiser, dans ce contexte, le potentiel économique de la province à court, à moyen et à long terme? Pour tenter de répondre à ces grandes questions, cet ouvrage fait appel à 13 économistes, lesquels se sont donné comme mandat de rédiger un guide pratique. Les recommandations y sont claires et l’analyse effectuée est à la portée de tous les lecteurs soucieux d’en savoir davantage sur l’avenir économique du Québec. De la collection « Point de mire sur le Québec économique », sous la direction de Mario Lefebvre avec Marcelin Joanis et Luc Godbout et publié aux Presses de l’Université Laval (PUL), l’ouvrage est disponible de façon électronique via le site Web des PUL ou en librairies.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.283
Threshold uncertainty score0.569

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0200.002

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.

Opus teacher head0.048
GPT teacher head0.315
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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