Anglo-Russian Rivalry in the American Arctic, Eighteenth to Mid-Nineteenth Centuries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
First published advance online September 30, 2019Attempts to penetrate into the Arctic coast of the North American continent were made from the west and from the east beginning in the eighteenth century. From the east the main role was played by the British, from the west by the Russians. The tsarist government and the Siberian authorities sent several research expeditions to the Bering Strait area, where the southern border of the Arctic lies. The First Kamchatka Expedition of Vitus Bering, which in 1728 passed through the strait between Asia and America, was the most famous. The British showed interest in this region much later. The first explorer to do so was the eminent British seafarer James Cook who passed through Bering Strait in 1778, causing considerable alarm in St. Petersburg, which feared British penetration into the “backyard” of the Russian Empire. However, after the Cook expedition the British did not appear in the Arctic waters of Alaska for several decades for various economic and political reasons. Anglo-Russian rivalry only resumed in the American Arctic in the 1820s, when several exploratory maritime expeditions were sent to the Bering and Chukchi Sea areas. These were replaced after the second half of the 1830s by land expeditions that were sent to the Arctic territories of Alaska by competing fur-trading companies: the Russian-American Company (RAC), which operated in Alaska from 1799, and the British Hudson’s Bay Company (HBC) from neighbouring Canada. Subsequently, up until the sale of Alaska to the United States in 1867, Anglo-Russian rivalry was embodied in the form of trade competition between RAC and HBC agents.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it