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Record W2167244283 · doi:10.1017/s0032247403003139

Chukchi Sea, Southern Ocean, Kara Sea: the polar voyages of Captain Eduard Dallmann, whaler, trader, explorer 1830–96

2004· article· en· W2167244283 on OpenAlexaff
William Barr, Reinhard Krause, Peter-Michael Pawlik

Bibliographic record

VenuePolar Record · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWhalingOceanographyBayGeographyGeologyArchaeology

Abstract

fetched live from OpenAlex

Eduard Dallmann, of Blumenthal on the lower Weser, went to sea at the age of 15 in 1845. He took command of his first ship, the whaling vessel Planet , in 1859 on a whaling voyage to the sperm whaling grounds in the Pacific and to the Sea of Okhotsk. Over the period 1864–66 he commanded the Hawaiian vessel W.C. Talbot on trading voyages to the Alaskan and Chukotka shores of the Bering and Chukchi seas. On 17 August 1866 he sighted and landed on Ostrov Vrangelya (Wrangel Island), a year prior to its sighting by Thomas Long, credited by many with the first sighting. For the following three years he commanded the whaling ship Count Bismarck on a whaling cruise to the tropics, the Sea of Okhotsk, and the Bering and Chukchi seas. In 1873–74 he made the first Antarctic whaling voyage aboard Groenland , and discovered and charted the west coasts of Anvers, Brabant, and Liège islands, as well as many smaller islands and straits including Bismarck Strait. He spent the 1875 whaling season as expert consultant, still aboard Groenland , on the Davis Strait and Baffin Bay whaling grounds. Then, to complete his career in polar waters, from 1877 to 1883 he made annual attempts to haul freight to the mouth of the Yenisey River, to be exchanged for grain cargoes brought down that river by barge. Of the seven attempts, only four were successful, the rest being foiled by ice conditions in the Kara Sea, and on the basis of this record, Baron von Knoop, the Russian entrepreneur who was financing the operation, decided to cut his losses. This ended Dallmann's career in polar waters.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.082
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.003

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 head0.036
GPT teacher head0.290
Teacher spread0.254 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations11
Published2004
Admission routes1
Has abstractyes

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