Sydkap Glacier, Canadian Arctic: tracking seven decades of change
Bibliographic record
Abstract
The acceleration of glacier mass loss in the Canadian Arctic due to rising global temperatures over recent decades has significant implications for sea-level rise. Marine-terminating glaciers are particularly crucial to study because of their susceptibility to both internal and external controls, which complicates identification of the specific drivers of their retreat. Sydkap Glacier, located on Southern Ellesmere Island in the Canadian Arctic, is one of the larger glaciers in the region and has been undergoing terminus-driven dynamic change. This thesis aims to establish a historical record based on remote sensing observations to identify the primary driving forces behind the observed changes. The data include terminus change derived from optical satellite imagery, and vertical change obtained through a combination of recent digital elevation models and historical aerial imagery from 1959 and 1975 that were used to reconstruct past glacier extent using structure-from-motion photogrammetry methods. Additionally, velocity data were acquired from NASA’s ITS_LIVE composites of annual ice velocity, and an investigation of topographical controls was conducted. Collectively, this research provides a detailed record of Sydkap Glacier from 1959 to 2023. Sydkap Glacier experienced a topographically moderated retreat phase of a tidewater glacier cycle between 1972 and the early 2000s. Subsequently, regional trends of increasing temperatures and atmospheric forcing caused a regime shift from the tidewater glacier cycle to one dominated by surface mass balance processes and terminus retreat.
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 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 | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".