Resources for past and present mapping of glaciers in the Western Cordillera
Bibliographic record
Abstract
The Western Canadian Cryospheric Network (WC2N) is funded by the Canadian Foundation for Climate and Atmospheric Sciences (CFCAS) until 2010 to study the glaciers of the Western Canadian Cordillera, under three themes focusing on past and present glacier extent and climate variability, meteorological and climate processes, and modelling changes in glacier cover and runoff. The co-investigators and collaborators are located in six western Canadian universities along with the Universities of Washington, Western Washington, and federal institutions. This talk will present the data sources we have used in monitoring glacier extents since the Little Ice Age Maximum. These involve a combination of aerial photography, historic mapping, satellite imagery and digital map datasets, to establish both glacier extents, and elevations from contours and digital terrain models. This work has incorporated the scanning of several thousand aerial photographs from provincial and federal archives, the acquisition of early twentieth century maps, Landsat, SPOT and ASTER satellite imagery covering the cordillera over multiple dates, and both provincial and national topographic data.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".