Near-surface permafrost ground ice characteristics and ecological and physical drivers of transient layer ice content in discontinuous permafrost near Yellowknife, NT
Bibliographic record
Abstract
These data were collected from 2014-2015 as part of a Master of Science thesis research project in an effort to characterise the near-surface permafrost ground ice content in the Great Slave Lowlands of the North Slave region of the Northwest Territories. The near-surface permafrost was assessed in the two dominant permafrost-affected forest types in this region: black spruce and white spruce/birch. A total of 20 sites were examined, including 10 in black spruce forest and 10 in white spruce/birch forest. Four boreholes were drilled at each black spruce site, and two to four boreholes were drilled at each white spruce/birch site. To examine the influence of soil and ecological properties on near-surface ground ice content, core samples were retained for water content, sediment grain size, salinity, and organic content analyses. In addition, stand age measurements, canopy cover estimates, and vegetation surveys were completed at each site, and ground vegetation cover surveys were completed adjacent to each borehole.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".