Experimentation of several mitigation methods in Tasiujaq Airport to minimize the effects caused by the melting of permafrost
Bibliographic record
Abstract
Since the beginning of the 1990s an important increase in the mean annual air temperatures has been recorded in Nunavik, Québec, Canada. This has lead to the degradation of permafrost, which is threatening the stability of airport and road embankments in the region. In the summer of 2007 a test-site was established at Tasiujaq Airport to study the effect of three different mitigations methods: heat drain, air convection embankment, and gentle slope (8:1). The methods were constructed in the shoulder of the runway embankment, each method over a distance of 50 m. In each section thermistors were installed to study the annual variations of the thermal regime inside the different embankments. After one year of monitoring, interesting cooling trends have been observed in the different test-sections and a substantially reduced maximum thaw depth have been registered during the thawing season.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".