Surficial geology and Holocene shoreline evolution near Whitebeach Point, Great Slave Lake, Northwest Territories
Bibliographic record
Abstract
Deposits of well sorted silica-rich beach sands occur along the western shore of Great Slave Lake around Whitebeach Point, Northwest Territories. Much of these deposits were windblown and redeposited following Holocene regression of glacial Lake McConnell and ancestral Great Slave Lake. Eolian deposits include active and stabilized sand sheets, transverse dunes, and localized blowouts. High-resolution lidar and optical imagery, combined with optical and radiocarbon dating, were used to derive a lake-level regression curve for the area, map the surficial geology and geomorphology, and reconstruct Holocene shorelines and landscape development. Lake water level was near the base of a limestone escarpment in the study area ca. 9.5 ka, about 60 m above the present lake level, and subsequently declined at a rate of about 2.3 mm a-1 from ca. 7.0 ka onward. Lake-level regression was accompanied by beach- and eolian-sand deposition in the form of incipient foredunes, primarily within a protected embayment. Permafrost occurs beneath land surfaces with thick (>30 cm) organic cover, including peatlands and densely forested areas, and likely affects the groundwater hydrology in the area. Permafrost is absent under sparsely vegetated eolian sand surfaces.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".