Ice islands: their presence in the North Atlantic Ocean
Bibliographic record
Abstract
Ice islands are extremely large icebergs that break off the ice shelves of Ellesmere Island and the glaciers of Greenland. A percentage of the ice islands will make their way south via the Nares Strait and drift with the Labrador current off the coast of Newfoundland and Labrador. The content of this paper spans over a century of ice island sightings; beginning in the 1880s up until 2004. Data has been collected from numerous sources, including the historical Iceberg Sighting Database by Brian Hill, as well as PERD Iceberg Database. A total of 340 ice islands were reported within that data thus far compiled. These reports have been organized into an excel spreadsheet, consisting of detailed information for each ice island such as position, size and date. The ice island data has been plotted in a series of graphs, displaying different trends related to the position and size of ice islands. These graphs contribute to final analysis of the data as displayed by the graphs and figures.
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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 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".