Performance of highway embankments in the Arctic constructed under winter conditions
Bibliographic record
Abstract
There are uncertainties related to the mechanical behaviour of embankments where frozen soil is used as fill material and experiences natural thawing and settlements during the first thawing season following construction. Fill material of embankments in the Arctic is primarily sourced from locally available borrow sites that, in certain areas, are predominantly composed of fine till with high ground ice content. Side slope sloughing and fill cracking typically occur due to thawing of the frozen soil and development of localized thaw settlements under the embankment shoulders and side slopes. To assess the performance of a frozen fill embankment, test sections were constructed along the Inuvik–Tuktoyaktuk Highway in the Northwest Territories, Canada, and instrumented with temperature and displacement sensors. One test section was reinforced with layers of wicking woven geotextiles at its side slopes to primarily provide reinforcement against lateral movements and drainage during the thawing season. Field data show that the central and bottom portions of the embankment fill are still frozen while the thaw depth has increased at the toe. This paper presents the analysis and synthesis of the first 3 years of monitored performance of the embankment test sections following construction.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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 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".