Geologic History and Deformation Monitoring of the Sunnydale Landslide
Bibliographic record
Abstract
The Sunnydale Landslide is a slow-moving rock-slope deformation on the western bank of the Yukon River directly across from Dawson City, Yukon. Field mapping documented road subsidence, expanding tension cracks, recent and ongoing rockfall and shallow landslide activity, and production of detailed geomorphological and surficial geology maps of the landslide. Results from geologic dating of the slide show that is has been a feature of the landscape since at least 10,000 years before present. Due to this age, present rates of surface displacement across the slide are incompatible with observed total deformation, implying either episodic movement or recent acceleration. Results from photograph interpretation and dendrogeomorphological study show deformation throughout much of the 20th century. Additionally, lidar and GNSS/GPS monitoring from 2014 to 2023 show over 20 cm of 3D displacement annually in parts of the landslide. Recent lidar differencing and GNSS data suggests possible acceleration of the landslide, which indicates a higher level of risk of rapid failure and subsequent impacts to Dawson City. Limitations in data availability as well as errors inherent to these data sources preclude certainty on observations of acceleration and probability of rapid failure. The installation of a near real-time GNSS monitoring array in April of 2023 facilitates continued monitoring and clarification of potential changes in rates of motion on the Sunnydale Slide at the time of writing and into the future.
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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 | 0.000 | 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) | 0.005 | 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".