Deformation styles and sedimentology criteria to distinguish between subglacial, glaciotectonic and glaciomarine sedimentation of glacial Lake Agassiz
Bibliographic record
Abstract
Glaciolacustrine sediments accumulated in vast lake systems of central and eastern North America. The central region included glacial Lake Agassiz, one of the largest fresh-water lakes that every existed. Lake Agassiz covered during different phases most of Manitoba, and parts of Saskatchewan, Ontario, North and South Dakota, and Minnesota. Overflow from Lake Agassiz and other large proglacial lakes cut spectacular spillway channels across the northern Great Plains. The southern part of the Lake Agassiz basin contains a complex of sediments that reflects the first 2000yr of the lake's history. This research compares and contrasts the sedimentology and structural geology of a Glaciolacustrine sediments site (glacial Lake Agassiz). Primary studies suggest that the glaciomarine environment is dominated by sedimentary processes, related to sediment supply, water content and distance from the glacier margin. Glaciotectonic deformation, however, is dominated by deformational processes, related to effective pressure, shear strain, nature of the subglacial material and distance from the glacier margin. From this study a series of criteria will be suggested to distinguish both Quaternary and contemporary glaciotectonic and glaciomarine environments. In addition, the investigation also discusses the subsequent effects of glaciotectonic deformation on a primary glaciomarine site due to a glacial readvance.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".