A New Approach to the Management of Pavement Markings in Quebec. Nouvelle approche de gestion de la signalisation horizontale au Quebec
Bibliographic record
Abstract
L'optimisation de la securite routiere represente une des priorites du ministere des Transports du Quebec. Dans cet esprit, l'amelioration de la visibilite de la signalisation horizontale, dans toutes les conditions climatiques, constitue un enjeu important. Dans le contexte du XXIe siecle, les progres recents concernant les materiaux et les nouvelles normes ENVIRONMENTales nous obligent a reviser nos politiques ministerielles et nos pratiques. Dans cette optique, nous presenterons la nouvelle approche de la gestion de la signalisation horizontale au Quebec. Pour mieux vous situer, nous decrirons brievement l'etat de la situation de la signalisation horizontale. Nous traiterons ensuite des homologations des produits de marquage qui nous permettent d'etudier la visibilite (la durabilite et la retroreflexion) du marquage par le biais de plus de 300 essais realises avec les produits soumis par les fabricants. A la suite des homologations, nous pouvons classifier les produits de courte, de moyenne (2 ans) et de longue duree (plus de 4 ans). Subsequemment, nous presenterons la nouvelle approche qui consiste a evaluer l'etat du marquage pour lequel le Ministere a mis au point une classification de la durabilite et de la retroreflexion.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".