Airfields and Access Roads Performance Assessment in Nunavik, Quebec, Canada
Bibliographic record
Abstract
In Nunavik, permafrost degradation is now inevitable and it will eventually threaten the integrity of transportation infrastructures owned by Ministère des Transports du Québec (MTQ). This study was initiated by the MTQ in order to adapt its transportation infrastructures to the new climatic reality. The purpose of this study is to carry out a performance assessment of the Nunavik runways and access roads since their construction in order to determine the appropriate adaptation techniques to reduce permafrost degradation. Thereafter, initial and current base material thickness longitudinal profiles of various runways were compared to determine if settlement occurred. Comparisons between the initial and current runways condition were carried out using air photographs. The assessment made it possible to identify six unstable runways and two unstable access roads. This paper presents the three most unstable runways in Nunavik : Kangirsuk, Salluit and Tasiujaq. Recommendations for the problematic airports, such as permafrost characterization through deep drilling and implementation of mitigation methods, were given at the end of the study. Three mitigation methods are proposed to counter permafrost degradation at Nunavik airports : heat drain, air convective embankment and reflective surface.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".