Depth Profiles of Geochemistry and Organic Carbon from Permafrost and Active Layer Soils in Tundra Landscapes Near Lac de Gras, Northwest Territories, Canada
Bibliographic record
Abstract
The geochemistry of permafrost is relevant for understanding impacts of thaw and for unraveling landscape dynamics.This study aimed to contribute to knowledge of permafrost geochemistry from the Lac de Gras region, Northwest Territories, Canada.The area represents a contrasting geomorphic and climatic setting from other more intensively studied permafrost areas in northwestern Canada.Permafrost and active layer samples from 24 sites were collected to examine the vertical and spatial distribution of water content, organic matter content and soluble cations.These varied between the active layer, nearsurface permafrost and the permafrost at depth.Near-surface solute enrichment of permafrost was evident at some sites in each terrain type, but the majority of sites had lower cation contents in near-surface permafrost than in the active layer.Active layer organic materials from peatlands and wetlands terrain were solute rich in comparison to mineral soils of till blanket, till veneer or esker terrains at similar depth.In the Lac de Gras area, organic soils are enriched with solutes relative to tills or glaciofluvial deposits, and since the organics are primarily near the surface, active layers often are solute rich with respect to underlying mineral soil permafrost.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".