Multi-technical study of retrogressive thaw slumps at km 1456 of the Alaska Highway, Yukon
Bibliographic record
Abstract
The presence of active retrogressive thaw slumps (RTSs) adjacent to the Alaska Highway at km 1456 have created a unique opportunity for permafrost characterization, monitoring, and climate change impact analysis in the greater Whitehorse area.An intensive research program was established to act before serious damage occurs and acquire a better understanding of retrogressive thaw slumps that impact northern road corridors.The study addresses key knowledge gaps in mapping of RTS formation and evolution processes, as well as methodological gaps in the monitoring of such geohazards.To acquire this new knowledge about RTS processes, the study focuses on frozen soil properties, ground thermal regime, ground movements, and ground water dynamics.Research activities included geotechnical borehole investigations, ground temperature monitoring, ground surface movement monitoring with differential GPS, imaging and topography monitoring using unmanned aerial vehicle photogrammetry, and electrical resistivity tomography surveying.The multi-technical monitoring approach was used to inform an approach to mitigate the threat caused by RTSs on road corridors.1
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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 | 0.000 |
| 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".