Bibliographic record
Abstract
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.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.056 | 0.027 |
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".