Cyclic activity and nutrient release from retrogressive thaw slumps in the Arctic coastal zone
Bibliographic record
Abstract
Retrogressive thaw slumps are very large landslide-like features occurring in the presence of massive ground ice. This form of thermokarst is generally initiated by lake shore erosion, coastal erosion or nearshore thaw settlement leading to the failure of coastal cliffs and the (re)exposition of ice-rich permafrost. These slumps can then evolve over hundreds of years and deliver large quantities of sediments and nutrients to the nearshore zone. In this presentation, we show examples from the Yukon Coastal Plain in Canada, where retrogressive thaw slumps are among the largest in the world. We introduce the notion of polycyclic occurrence of these slumps as well as the coupling of this polycyclicity to climatic signals. We also show field and remote sensing data describing the large quantities of sediment and nutrient released by these features and provide a comparative analysis of the impact of coastal thermokarst and erosion of coastal cliffs.
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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) | 0.000 | 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".