Changes in Multiyear Sea Ice in Yelverton Bay, Ellesmere Island, Canada
Bibliographic record
Abstract
This study combines fieldwork and remote sensing image analysis to quantify changes in multiyear landfast sea ice (MLSI) for the last 60 years in Yelverton Bay and Yelverton Inlet, on the northwestern coast of Ellesmere Island. Yelverton Bay features a range of ice types, including first and second year sea ice, rolling-surface multiyear sea ice, and calved glacier ice; this study presents the first dedicated, in situ assessment and sampling of these. Sea ice thicknesses were determined using a 500 MHz GPR system towed behind a snowmobile. Shallow (<3 m) ice cores of the various sea ice types were used to both validate the GPR thickness readings and to determine temperature and salinity profiles in the ice. These results enable improved identification of various ice types in SAR and visible satellite imagery, which in turn allows improved mapping of sea ice changes in this area since the early 1990’s.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".