Long Term Performance and Acoustic Properties of an Aging Open Graded Friction Course Asphalt Pavement Surface
Bibliographic record
Abstract
This paper describes a long term follow up study carried out by the British Columbia Ministry of Transportation and Infrastructure (BC MoT) on two developmental paving projects constructed in the mid 1990's using Open Graded Friction Course asphalt concrete pavement (OGFC). These projects were on Vancouver Island in a wet/no freeze climate. OGFC pavements have a much coarser gradation, significantly higher air voids, and greater asphalt film thickness than conventional asphalt pavements. Benefits include improved safety due to increased skid resistance, improved surface drainage, reduced glare, and reduced spray during wet conditions. Substantial reduction in ambient traffic noise due to the noise attenuating qualities of OGFC significantly improves driver comfort and reduces driver fatigue. The reduction of noise is also a significant benefit to people living near roadway facilities which have been surfaced with OGFC. The study focuses on two projects constructed in and near Nanaimo BC in 1995, 1996 and 1997. One was constructed in two phases on Highway 19A in the City of Nanaimo. The other project was constructed on Highway 19 which was a new highway built to service the Duke Point Ferry Terminal.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".