Deep material eroded from retrogressive thaw slump: case study in Peel Plateau, west Canadian Arctic
Bibliographic record
Abstract
Ice-rich permafrost thaw is highly sensitive to the creation of local landscape subsidence in the Arctic, known as thermokarst structures. Upon thaw, these structures can erode, unlocking organic and mineral constituents and transferring this material downstream potentially affecting the ecosystem at larger scale. Such hillslope landscape processes have recently developed in Peel Plateau, west Canadian Arctic, as Retrogressive Thaw Slumps (RTS). We investigate whether material eroded from RTS and transported downstream originates from upper or deeper soil horizons with potentially distinct organic and mineral contents. The total elemental content and soluble element fractions were determined in soils from different depths at the slump headwall (active layer, Holocene permafrost, and Pleistocene permafrost) and in downstream eroded material (mud, and debris) for eight RTS structures. We observe a similar total content in Ca, K, Al and Sr, and soluble content in Ca, K, Mg, Na between the downstream mud and debris and the Pleistocene permafrost. The data highlight that the eroded material originates from the deeper Pleistocene permafrost, and contributes solute element concentrations that are significantly higher (by at least one order of magnitude) than in previously thawed active layer or locally Holocene permafrost. We hypothesize that RTS development is responsible for horizontal transfer of perennially frozen materials downstream originating from deep Pleistocene permafrost deposits. This means that in addition to exposing deep organic carbon to mineralization, modern RTS development likely affect local ecosystem chemistry by releasing soluble elements.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".