Surfical geology of the Cypress Lake and Wood Mountian map areas, southwestern Saskatchewan
Bibliographic record
Abstract
Six landscape complexes were identified in the Cypress Lake and Wood Mountain map areas on the basis of similarities in their geomorphology and geology. Bedrock terrain with drift is the oldest complex identified and consists of unglaciated terrain formed mainly by fluvial and mass-wasting processes during the Late Tertiary. Successively younger glaciated landscapes are designated as bedrock terrain with residual drift, bedrock terrain with drift, first-advance drift, interlobate drift, and last-advance drift. A north to south forest-grassland transition was established across the regional drainage divide about 14 ka. Prairie grassland vegetation covered the southern slopes of the uplands and a belt of forest-grassland transition had shifted well to the north of the map area at the beginning of the Holocene. Three major changes in climate are indicated by the unglaciated landscapes of the Cypress Hills and Wood Mountain uplands, and the landscapes of the surrounding glaciated plains. The upland landscapes formed under arid to semi-arid Late Tertiary climates and contrast sharply with the glaciated landscapes shaped by the Late Wisconsinan Laurentide ice sheet. Climatic warming resulted in deglaciation, followed by a wet interval between 14 and 7 ka, a dry interval between 7 and 5 ka, and a return to somewhat wetter conditions from about 4 ka to the present.
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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 | 0.002 | 0.002 |
| 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) | 0.004 | 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".