Ten-Year Performance of Full-Depth Reclamation with Expanded Asphalt Stabilization on Trans-Canada Highway, Ontario, Canada
Bibliographic record
Abstract
In 2001, the Ministry of Transportation Ontario, Canada, constructed its first stabilization project involving full-depth reclamation with expanded (foamed) asphalt on the Trans-Canada Highway, south of Wawa, Ontario. The project involved three mix designs, two with corrective aggregate and one without corrective aggregate. A control section of full-depth reclamation with the same thickness of hot-mix overlay (without expanded asphalt stabilization) was placed in the middle of the project. The project has been monitored annually for the past 10 years. Analysis of roughness data and pavement distress data indicated a significant difference between the test sections with expanded asphalt stabilized base and the control section. The expanded asphalt stabilization has delivered superior performance compared with the conventional full-depth reclamation with hot-mix overlay. Performance curves for the treatments on this project were compared with the ministry's average performance curve for full-depth reclamation (reconstruction) projects and with the performance of treatments on two adjacent projects. This project demonstrated the exceptional performance of the expanded asphalt mixes through 10 years of proven superior pavement condition and ride.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".