The Search for the Best Concrete Surface Texture Relative to Noise and Skid Resistance in Québec
Bibliographic record
Abstract
Concrete pavements under the ministère des Transports du Québec (MTQ) are located on the highest trafficked roads in the province, often in urban areas. In the late 1990s, the MTQ noted a skid resistance problem for most of the concrete pavements rebuilt since 1994. The texture specified at the time for the new pavements was the result of dragging an Astroturf mat on the surface of the fresh concrete. This produced a low noise pavement, but skid resistance measurements were disappointing. Since 2000, the MTQ has specified the transverse tining on fresh concrete; this technique is known to provide better skid resistance. However, it is sometimes noisier and complaints were recorded in some areas. It was also found that skid resistance issues still occurred because of the limestone coarse aggregate used in almost all concrete pavements since 1994. It has been banned since 2003. Since 2004, to counter the noise effect, the longitudinal tining technique has been increasingly used by MTQ project engineers. Various other techniques were tested on new slabs such as exposed aggregate, shot-blasting and grinding. All our experimental sections were subject to tire-pavement noise measurement by our custom-made equipment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".