L'entretien hivernal des routes : concilier protection de l’environnement et sécurité routière
Bibliographic record
Abstract
Le ministere des Transports du Quebec (MTQ) est responsable d’assurer la mobilite des usagers de la route qui transitent quotidiennement sur son reseau comptant quelque 30 600 km repartis a travers le vaste territoire. Il est toutefois confronte a de nombreux defis dans le cadre de ses activites d’entretien, notamment en periode hivernale. En effet, le climat du Quebec est rigoureux. Une moyenne de 300 centimetres de neige sont recus annuellement, repartis sur une periode de 18 a 25 semaines. En 2013-2014, le budget du Ministere pour entretenir le reseau sous sa responsabilite en periode hivernale etait de 267 millions de dollars (267 M$). La majeure partie du reseau, a savoir 79,5 %, etait confiee a contrat a des entreprises privees ou a des municipalites. Ainsi, 19,5 % du reseau etait entretenu en regie par le personnel du Ministere. Pour assurer la securite des usagers de la route, c’est pres de 800 000 tonnes de sels de voirie qui sont epandues chaque annee sur le reseau routier du MTQ. Utilises en grande quantite, ces materiaux peuvent toutefois entrainer des effets nefastes sur l’environnement, et ce, particulierement sur les zones qui y sont vulnerables.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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.
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".