Permanently installed 2D electrical resistivity array for monitoring permafrost beneath pavement, Dawson City, Yukon, Canada.
Bibliographic record
Abstract
Dawson City, Yukon, Canada is situated in an area of discontinuous permafrost at approximately 64N latitude. The community has a mean annual temperature of -5.3C and is situated on an alluvial floodplain consisting of fine-grained silt. Roughly half of the town is underlain by warm permafrost with temperatures of -1.0C to -0.1C. Soils consist of 2.0 to 10.0 m of frozen, fine-grained silts and sands overlying fluvial gravels. This permafrost is ice-rich, with soil gravimetric water contents of up to 200% and frequent occurrences of massive ice and icewedges. Many of the buildings in Dawson were built during the Klondike Gold Rush of 1898. Ground instability due to thawing permafrost is damaging these historic structures as well as more modern infrastructure designed for permafrost locations. This region of the Yukon Territory is projected to be subject to climatic warming of 3.0C to 4.0C over the next 30 to 70 years. Such warming would lead to serious degradation of the permafrost, placing much infrastructure at risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".