Hypsometry, geodetic ELAs, and snowlines of Clemenceau Icefield Group glaciers, Canadian Rocky Mountains
Bibliographic record
Abstract
Clemenceau Icefield Group (CIG) is located west-northwest of Columbia Icefield. It consists of 89 glacier systems of which most of the larger glaciers drain the icefield. Numerous smaller glaciers are of the cirque and glacieret types. Glacier elevation ranges from 3660-1320m asl. We present a first glacier inventory of CIG, and focus on the mass balance characteristics derived from glacier hypsometries, geodetic equilibrium lines (ELAs) based on NRCan DEMs, and snowlines from Landsat7 and ASTER satellite images. The CIG ice cover diminished from 313km2 in the late 1980s to 271km2 planar area in 2001. Some of the northern outlets have retreated >2km between 1923 and 2001, which is double the retreat rate of the Athabasca and Saskatchewan glaciers. Glacier hypsometries are top-heavy for the outlet glaciers; many of the smaller glaciers are equidimensional. The ablation gradient of Shackleton Glacier is 1.2m/100m: slightly steeper than the more continental Peyto glacier. Geodetic equilibrium lines range from 1880 to 2680m asl. With the average late-summer snowlines at 2300-2600m asl (c.f. 2200m in the 1980s, and 2695m for Peyto), the outlet glaciers are predicted to be very sensitive to climate change, as a small rise in snowline elevation exposes large additional areas to ablation.
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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 | 0.004 | 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) | 0.007 | 0.001 |
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".