Abrasive Cleaning and Painting of the Jacques-Cartier Bridge: A Review After 15 Years of Work and More Than a $40 Million Investment. Nettoyage aux abrasifs et peinturage du pont Jacques-Cartier, un bilan apres 15 annees de travaux et plus de 40 M$ d'investissements
Bibliographic record
Abstract
Ouvert a la circulation en 1930, le pont Jacques-Cartier traverse le fleuve Saint-Laurent entre l'IIe de Montreal et la Ville de Longueuil sur la Rive-Sud. . La superstructure de ce pont est constituee principalement d'une charpente en acier. L'ouvrage comporte cinq voies de circulation sur une longueur de plus de 2,7 km. La circulation annuelle sur ce pont est evaluee a environ 43 millions de passages, le classant ainsi parmi les ponts les plus achalandes au Canada et parmi les ponts les plus achalandes en Amerique du Nord au niveau de sa densite de circulation par voie. Les effets combines de son âge, de l'utilisation intensive des sels de deglacage depuis les annees '60 et d'un systeme de drainage mal adapte aux conditions d'exposition de l'ouvrage, ont mene la Societe, Les Ponts Jacques Cartier et Champlain Incorporee, a entreprendre vers la fin des annees '80, un programme exhaustif visant le nettoyage et le peinturage de l'ensemble de la structure metallique du pont. Le systeme de peinture retenu est un systeme moderne et performant a trois (3) couches, constitue de zinc-galvanique, de resine-epoxydique et d'urethane. Cette communication decrit, dans ses grandes lignes, le programme de nettoyage et peinturage entrepris sur cet ouvrage. La communication decrit notamment le type de systeme de peinture retenu et les exigences techniques pour la mise en place d'un systeme de peinture offrant une protection de grande durabilite dans le contexte d'un climat difficile et en presence de conditions d'exposition severes.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".