Characterizing the flow speeds and variability of Trinity and Wykeham Glaciers of the Prince of Wales Icefield, Canadian Arctic using a highly dense record of Synthetic Aperture Radar Data
Bibliographic record
Abstract
The Trinity and Wykeham Glacier complex of the Prince of Wales Icefield in the Canadian High Arctic is one of the largest glacier basins within the region. Since 2000, both glaciers have accelerated, increased their discharge and retreated. Recent studies have indicated that this acceleration and retreat has been driven by significant thinning and floatation of glaciers. This acceleration and retreat is also further modulated by each glaciers bed topography. Here, we utilize a highly dense record of TerraSAR-X, Tandem-X, PAZ and Radarsat Constellation Mission data in order to further characterize the recent (since 2021) dynamics of each glacier at ~weekly timescales. This timeseries allows us to investigate variations in glacier flow for both glaciers at an unprecedent resolution. The results of this work will be used as inputs into glacier flow models and will be used to further investigate the dynamic response of a large tidewater terminating glacier to climate warming.
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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 | 0.001 | 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) | 0.001 | 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".