Lessons Learned from the Construction of Kelly Lake TDA Embankment
Bibliographic record
Abstract
The use of tire-derived aggregate (TDA) started gaining popularity in several highway infrastructure projects in Canada and around the world. Recycling scrap tires have several economic and environmental benefits, as TDA is often the most cost-effective material that can offer the engineering properties sought, in addition, its use eliminates the need to store waste tires in landfills saving precious landfill space. Nova Scotia Department of Transportation and Infrastructure Renewal (NSTIR) constructed a 450m full-scale test embankment off the northbound lanes of Highway 102 at Kelly Lake, Halifax, Nova Scotia, utilizing TDA processed from approximately 100,000 scrap tires to investigate the soil-structure interaction behaviour of an engineered TDA fill layer underneath rigid pavement. The purpose of this project is to demonstrate the engineering benefits of using TDA as a recycled non-traditional construction material. Utilizing the lessons learned from this demonstration project, NSTIR will pursue future applications of TDA in Nova Scotia for highway construction.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".