On a history of Russian nineteenth century continental explorations in Alaska
Bibliographic record
Abstract
Abstract In the 1840s, Russian-American Company paid much attention to exploration of the interior of continental Alaska. A ground for such an explorations has been solidly prepared by the Company’s fur extracting activities and by the preceding treks by Vasil’iev, Kolmakov, Glazunov, Malakhov, Lukin and Zagoskin. Russians were by now acquainted in general terms with geography and peoples inhabiting the lower courses of the Kvikhpak (the Yukon) and Kuskokwim rivers. The tribes inhabiting these region, on their part, were informed, at least indirectly, with Russian promyshlenniki’s activities through the process of fur barter trade and by this time did not consider contacts with them as an evil to be avoided at any cost. Zagoskin’s expedition was an outstanding achievement with respect to the study of the environment and population of Alaska’s interior. Arvid Adolf Etholen’s and Voznesenskii’s materials, together with the reports about the remarkable expedition by Zagoskin, attracted close attention of the leadership of the Geographical Society.
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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 | 0.002 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".