Cataloguing Retrogressive Thaw Slumps along the Old Crow River, YT: Proposing Regional Controls on Retrogressive Thaw Slump Formation and Growth
Bibliographic record
Abstract
The Old Crow River flows across a continuous permafrost zone in the Northern Yukon. The seasonally frozen ground contains ice, organics, and metal pollutants. Retrogressive thaw slumps form when permafrost on the riverbanks thaw and sediment flows downslope into the river, leaving an unvegetated scar that can be seen on satellite images. The thaw slump will grow rapidly until stabilization impedes further melt. The specific controls on permafrost thaw will vary regionally throughout the Yukon, and the variables affecting formation and activity of thaw slumps along the Old Crow River have not been studied. Influences on the activity of thaw slumps are proposed through cataloguing geomorphic conditions and variables measured using satellite images and digital elevation data. The data collected suggests that cliff slope and direction, river processes, and proximity to certain landforms may influence growth and activity of thaw slumps along the Old Crow River. Satellite data is used to perform a supervised classification of the area that identifies RTS with a sensitivity of 62% and precision of 85%. Department: Physical Sciences Faculty Mentor: Dr. Robin Woywitka
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".