Active‐layer characteristics and summer climatic indices, Mackenzie Valley, Northwest Territories, Canada
Bibliographic record
Abstract
Abstract Summer thaw depths at eight monitoring sites in the Mackenzie Valley, determined from probing of grids and thaw tubes, are used to characterise the spatial and temporal variations in active‐layer thickness and to investigate linkages to climatic variations. Intra‐site variability in thaw depths is typically low where organic cover is thin and uniform. Higher variability occurs where moisture contents and organic cover are high and spatially variable. Grid‐mean thaw depths provide robust measures of the average site thaw depth, although they are less than annual maximum active‐layer thicknesses determined by thaw tubes. Values from both measurements correlate reasonably well, permitting estimates of the variations in active‐layer thickness from grid‐mean thaw depths. Active‐layer response to thermal forcing in various settings is well represented by grid‐mean thaw depths and the square‐root of late‐season thawing‐degree days. However, the effect of interannual climate variability on active‐layer thickness is better assessed by maximum tube thaw depths and the square‐root of total thawing‐degree days. Copyright © 2009 Her Majesty the Queen in right of Canada. Published by John Wiley & Sons, Ltd.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".