Baltic Germans in the Russian Imperial Navy: Navigators, Explorers, and Contributors to Place Naming
Bibliographic record
Abstract
From the 13th century onwards, Germans spread northeastwards along the Baltic coast, the area now occupied by Lithuania, Latvia, Estonia, the St. Petersburg region of Russia, and Finland. Most of these Germans were active as merchants. While for most of this period Lithuania had Poland as an overlord and Finland had Sweden, in Estonia, Livonia, and Courland (now Estonia and Latvia) the Germans soon formed the ruling class. Not only were they merchants, landowners and military leaders, but they also basically formed the government of these regions. In 1710, Russia became the new overlord of these regions. As a result, the Germans in this area were obliged to serve in the Russian Imperial forces. The Germans rapidly gained leading positions in these forces. In the Russian Imperial Navy, Baltic German captains sailed in the North Pacific area, particularly along the coasts of Siberia and Alaska. We will look at some of these captains and their role in naming places they visited and having places named after them. Among the most prominent are Adam Johann von Krusenstern, Ferdinand von Wrangel, Fabian von Bellingshausen and Otto von Kotzebue.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".