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Record W2023836244 · doi:10.1029/2002eo000059

New U.S. icebreaker to advance Arctic Marine Science

2002· article· en· W2023836244 on OpenAlexaboutno aff
Jim Swift, Lisa Clough, Jonathan M. Berkson, George W. DuPree, Kelly K. Falkner

Bibliographic record

VenueEos · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCoast guardArcticResearch vesselOceanographyMarine engineeringEngineeringHullNaval architectureOpen waterThe arcticAeronauticsMeteorologyGeologyGeography

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.004

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.

Opus teacher head0.008
GPT teacher head0.201
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2002
Admission routes1
Has abstractyes

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