Evolution of Flexible Pavement Recycling in Ontario - An Agency's Perspective
Bibliographic record
Abstract
In consideration of present and anticipated future environmental and resource challenges, in-situ flexible pavement recycling provides an important alternative to conventional pavement rehabilitation. The Ministry of Transportation of Ontario (MTO) encourages the use of pavement recycling to provide economical rehabilitation techniques that conserve non-renewable resources including road-building materials and energy, while minimizing greenhouse gas (GHG) emissions, limiting pollution and reducing waste. This paper describes MTO's experience in adopting innovative in-place pavement recycling techniques, focusing on the recent improvements and current practices. Detailed discussion on these technologies and their impact on long-term pavement performance are presented, as well as a historical perspective of the ministry's pavement recycling program achieved over the past 10 years. The paper concludes by discussing how transportation agencies can move towards a sustainable future by incorporating flexible pavement recycling into their capital construction program.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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 teacher head, 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".