Implementation of Ontario's Pavement Sustainability Rating System - GreenPave
Bibliographic record
Abstract
Sustainability is an increasingly important consideration in road building across North America. The Ontario Ministry of Transportation (MTO) recently reinforced its commitment to sustainability by releasing a Sustainability Implementation Plan (SIP) that reflects the collective responsibility to optimize infrastructure design, capacity, and investment. In an effort to bring awareness of "green" initiatives to designers, MTO was inspired to create a user-friendly and quantifiable system to promote sustainable pavement technologies for the design, construction, rehabilitation, reconstruction, and preservation of pavements. This led to the development of a green pavement rating system for MTO known as GreenPave. This paper describes the concept and development of GreenPave and the implementation strategies used for GreenPave. Since implementation in 2011, a total of 91 pavement design and construction projects have been assessed, 41 of which have been GreenPave certified. A GreenPave evaluation of a resurfacing project using warm mix asphalt is provided in the paper.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".