Evaluation of the impact of recycled glass on asphalt mixture performances
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The goal of this research was to verify the possibility of using recycled glass particles in an asphalt mixture while maintaining equivalent properties and performance in lieu of a conventional mixture. First, one type of asphalt mixture (ESG14) with different glass contents was tested according to the Ministère des transports du Québec’s mix design method. Next, the performances (resistance to thermal cracking, mixture stiffness and stripping resistance) of an asphalt mixture with optimal glass content were evaluated and compared to a reference mixture. Overall, it was found that using recycled glass in an ESG14 asphalt mixture reduces the binder content, increases the mixture workability and decreases the rutting resistance. It was also found that using 10% recycled glass in an ESG14 asphalt mixture does not impact the resistance to thermal cracking as well as the mixture stiffness. On the other hand, the stripping resistance is negatively affected by the presence of glass.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| 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) | 0.000 | 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 it