Reconnaissance sub-bottom profiling studies of Peyto Lake, Banff National Park
Bibliographic record
Abstract
Recent studies have pointed to significant negative flow trends in the glacierized catchments of Canada's Southern Cordillera. These trends and a reduction in the flow regulation effect of glacier cover are due to marked reductions in the aerial extent of glaciers over the last half of the 20th Century (Hopkinson and Young 1998; Moore and Demuth 2001; Demuth and Pietroniro 2002; and Stahl and Moore 2006). These conclusions are the result of analyses conducted using the available instrumental records describing summer month river flows. In the context of water resources, and to better define the warmdry climate episode adaptation limits provided by the presence of glaciers, it is desirable to place these observations within the perspective of glacier fluctuations that have taken place over the last several millennia. In several instances recent and paleoglacier fluctuations from direct or proxy evidence have been well documented. For example, Demuth (1997), Demuth and Keller (2006), Hopkinson and Demuth (2006), Luckman (2006), and Watson and Luckman (2004) provide such evidence for Peyto Glacier. Peyto Glacier is situated in the eastern slopes of the Canadian Rocky Mountains and provides flow to the North Saskatchewan River Basin. This glacierized mountainous headwater region plays a critical role in providing orographically derived precipitation, seasonal snowmelt and glacier melt to natural and human systems downstream.
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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 | 0.002 | 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) | 0.002 | 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".