High Albedo Surfaces for Thermal Stabilisation of Road Embankment Built on Permafrost (Poster)
Bibliographic record
Abstract
Heat absorbed by dark pavement can increase thaw penetration within a road embankment and can induce instability caused by thaw settlement of the underlying permafrost. High albedo road surfaces (HAS) can reduce the heat absorbed by the pavement thus increasing stability of the embankment. Past experiments with HAS have shown that they can efficiently reduce thaw penetration but that they present some technical flaws regarding skid resistance and durability. The main objective of this project is to provide a way to evaluate the relevance of using HAS and especially to: Quantify the effect of a pavement’s albedo on its surface temperature, and; Provide methods to evaluate technical properties of HAS. A model has been developed to predict surface temperature of pavements in function of their albedo based on energy balance at the surface of the pavement. The model has been validated using data from a test section in Beaver Creek, Yukon. A method to evaluate the technical properties of HAS regarding durability and skid resistance has been proposed.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".