Bibliographic record
Abstract
Detailed mapping of the surfi cial geology of the Fort Liard area (NTS 95 B) provides insight into the dynamics of the Laurentide Ice Sheet as it impinged against the Cordilleran Ice Sheet during the last glacial maximum. Overall, ice advance over the plains was from the northeast, but as the ice sheet approached the mountain front, the fl ow was defl ected southward, up the lower Liard River valley. In the southern part of the map area, curving fl owlines record the collision and northward defl ection of the Laurentide Ice Sheet when it impinged on the Cordilleran Ice Sheet in the mountains west of the map area. High-elevation striations and Canadian Shield erratics show that the entire region was glaciated during this time. Once deglaciation began, an expanding corridor between the two ice sheets was instrumental in channelling meltwater from at least 500 km of the Laurentide ice margin, northward, into the Mackenzie Basin. During early deglaciation, drainage divides connecting northward-trending mountain valleys controlled proglacial lakes levels (>600 m a.s.l.). With eastward retreat of the Laurentide ice margin, glacial lake levels continued to fall as lower outlets became ice-free. About 11.5 ka BP, a large glacial lake formed in Liard River valley when the Laurentide ice margin disengaged from the mountain front. The entire map area was deglaciated shortly after 11 ka BP. Glacial Lake Liard fi nally drained into Mackenzie River valley when the ice margin retreated east of the confl uence of the Liard and Mackenzie rivers.
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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 | 0.003 |
| Science and technology studies | 0.001 | 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) | 0.015 | 0.003 |
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".