New U.S. icebreaker to advance Arctic Marine Science
Bibliographic record
Abstract
The decades‐long planning for a U.S. icebreaking vessel dedicated to Arctic marine science reached its goal with the entry into service of the UGCGC Healy, a polar research vessel operated by the U.S. Coast Guard for the U.S. science community. The ship is named for Captain Michael A. Healy, a legendary figure of Alaskan history who served as commanding officer of the U.S. Revenue Cutters Corwin (1884–1885) and Bear (1886–1895). Healy is 128 m long, 25 m wide, displaces 14,900 metric tons, and traverses up to 1.4 m ice at 1.65 m s−1, propelled by two 11.1‐MW AC synchronous motors fed from DC diesel electric engines through cycloconverters. Thus, Healy is more powerful and somewhat larger than the German polar research vessel Polarstern or the Canadian icebreaker Louis S. St‐Laurent. Healy's power system responds quickly to the load changes common in icebreaking. The ship has a conventional icebreaker bow. The hull provides a sea‐kindly ride and more stable work conditions in open water than do the U.S. Coast Guard Polar‐class icebreakers. The ship is designed to work in any Arctic season.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.062 | 0.016 |
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".