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Record W2138235523 · doi:10.1017/s0032247404003997

The Arctic ship <i>Veslekari</i>

2005· article· en· W2138235523 on OpenAlexaboutno aff
Kjell-G. Kjær, Magnus Sefland

Bibliographic record

VenuePolar Record · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsNorwegianChristian ministryArcticThe arcticOceanographyArchaeologyGeographyHistoryAncient historyGeologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The ship Veslekari was launched in 1918 from Christian Jensen's shipyard near Kristiania (present-day Oslo), where Roald Amundsen's ship Maud had been built. Although primarily a sealer, she was also used extensively for other expeditions to the Arctic. She participated in several relief expeditions, including one in 1936 to Jan Mayen to evacuate people during a series of earthquakes, and another in 1939 to northeast Greenland to evacuate Count Gaston Micard, who was seriously ill. In 1928 Veslekari participated in the search for Roald Amundsen and his plane in the waters off Bjørnøya. Tryggve Gran, a member of Robert Falcon Scott's last expedition, sailed with her at that time. She was chartered four times as expedition ship for the American Arctic explorer Miss Louise A. Boyd. In the summer of 1940 Veslekari sailed to northeast Greenland to relieve Norwegian hunters and the crew of the Norwegian weather station, but she was impounded by British and Norwegian forces and taken to Scotland on order of the Norwegian government in London. She was chartered by the Ministry of War Transport and was based in Scotland and Iceland. In 1943 she was renamed HMS Bransfield and was prepared for service in the Antarctic. After the war she resumed sealing under Norwegian ownership until in 1961, when she was wrecked in the ice in the sealing ground off Newfoundland.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.014

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 head0.013
GPT teacher head0.246
Teacher spread0.233 · 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 designNot applicable
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

Citations4
Published2005
Admission routes1
Has abstractyes

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