Slow change since the Little Ice Age at a far northern glacier with the potential for system reorganization: Thores Glacier, northern Ellesmere Island, Canada
Bibliographic record
Abstract
Relatively little is known about the glaciers of northern Ellesmere Island, Canada. Here we describe the first field and remote sensing observations of Thores Glacier, located 50 km inland from the Arctic Ocean. The glacier is slow-moving, with maximum velocities of 26 m a−1 and a maximum observed thickness of 360 ± 4.3 m. There has been little change in terminus position since at least 1959, with a maximum advance of 170 m at the northwest terminus ending on land and retreat up to 130 m at the southeast terminus ending in Thores Lake. There is little evidence for change since the Little Ice Age as bedrock weathering patterns suggest retreat of no more than 20–30 m around most of the glacier margin. The supraglacial drainage network is generally poorly developed, without moulins and with few crevasses, and therefore no evidence of water reaching the glacier bed. This is supported by one-dimensional modelling, which suggests current basal temperatures of −7.0 °C to −12.0 °C along the centerline. Thores Glacier currently dams Thores Lake, which causes drainage to flow to the southeast. However, if the glacier thins or retreats sufficiently, regional drainage will reverse and flow to the north, and Thores Lake would no longer exist.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 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".