Permafrost-related landforms and geotechnical data compilation, Yellowknife to Grays Bay corridor region, Slave Geological Province
Bibliographic record
Abstract
Permafrost conditions in the Slave Geological province are not well understood. Thaw of permafrost and associated ground ice can reduce ground stability, which modifies terrain and drainage patterns and affects terrestrial and aquatic ecosystems. This presents critical challenges to northern resource development and societies where thaw of ice-rich permafrost negatively affects the integrity of ground-based infrastructure. In an effort to address this knowledge gap, this report presents a digital georeferenced database of landforms identified in permafrost terrain using high-resolution satellite imagery and provides information on geomorphic indicators of ground ice presence and thaw susceptibility. Digital georeferenced databases compiled from sedimentological and cryostratigraphic records are also provided. The landform database is focused on mapping within a 10 km-wide swath of land (8576 km2 area of interest) centred on the proposed corridors for the 773 km-long Slave Geological Province Corridor Project, NT, and the Grays Bay Road and Port Project, NU. The geomorphic features were classified and digitized using high-resolution (0.5 m) satellite imagery following an existing protocol, which was modified by using a very high-resolution (2 m) digital elevation model (DEM), and by including mapping criteria for additional features. A total of 1393 geomorphic features were mapped comprising 10 different types, which were categorized into 3 classes that include periglacial (1291), hydrological (88), and mass movement (14) features. Data from 254 geotechnical boreholes and 2243 granular deposits were compiled. Information from the compiled databases was analyzed with surficial geology information. Results indicate that the distributions and densities of mapped landforms varied substantially according to surficial geology. High ground ice contents may be quite common in glaciofluvial deposits where creep of frozen ground affects about 30% of eskers. And ground ice may be more extensive overall than the available geotechnical data indicate. Borehole and granular deposit data suggest that overburden thickness above bedrock was up to 25.5 m, and visible ground ice contents were generally between 10% and 30%, but were up to 60% in glacial blanket and glaciofluvial sediments.
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".