Le Québec économique 6 : Le défi des infrastructures
Bibliographic record
Abstract
International organizations are formal: all countries must invest more in infrastructure. The objective is to develop and maintain a network of advanced infrastructure to support economic growth. For developed countries, it is mainly a question of compensating for the ageing of infrastructures, sometimes more than a hundred years old. In Quebec, this challenge is particularly acute because of the simultaneous rehabilitation of many infrastructures built in the 1960s and 1970s. This sixth volume of the series Le Québec économique deals in depth with the various facets of the infrastructure challenge in the context of a slow-growing Quebec economy. After having established an inventory of the Quebec economy and infrastructure park, the book discusses the economic effects and financing of infrastructure, maintenance and prevention, public construction contracts, as well as technological infrastructures. This book was written under the direction of Marcelin Joanis, Vice-President of Economic Development at CIRANO. Published by Presses de l'Université Laval (PUL), the book is available in bookstores or electronically. For more information, click here. Les organisations internationales sont formelles : tous les pays doivent investir davantage dans les infrastructures. L’objectif est de développer et d’entretenir un réseau d’infrastructures de pointe pour soutenir la croissance économique. Pour les pays développés, il s’agit surtout de pallier le vieillissement d’infrastructures parfois plus que centenaires. Au Québec, ce défi est particulièrement aigu en raison de la réfection simultanée de nombreuses infrastructures construites dans les années 1960 et 1970. Ce sixième tome de la série Le Québec économique traite en profondeur les différentes facettes du défi des infrastructures dans le contexte d’une économie québécoise en faible croissance. Après avoir dressé un état des lieux de l’économie et du parc d’infrastructures québécoises, l’ouvrage aborde les effets économiques et le financement des infrastructures, l’entretien et la prévention, les marchés publics de la construction, ainsi que les infrastructures technologiques. Ce livre a été réalisé sous la direction de Marcelin Joanis, vice-président Développement économique au CIRANO. Publié aux Presses de l’Université Laval (PUL), le livre est disponible en librairie ou de façon électronique. Pour plus d’information, 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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".