The Works and Materials of G. I. Novitsky, J. B. Müller and V. F. Zuev in the History of the Study of the Peoples of Siberia: Problems, Discussions, New Data and Interpretations
Bibliographic record
Abstract
A comparative analysis of the Khanty and Mansi descriptions, made by missionaries G. I. Novitsky and J. B. Müller in the first quarter of the 18th century, and the scientific ethnographic work of V. F. Zuev, a participant academician P. S. Pallas’s expedition in the Siberian of 1768–1774, was carried out. The conclusion is made about the thematic and actual intersections of the descriptions of the missionaries, which at the same time are author's and independent works. The originality and value of V. F. Zuev’s work as a source for studying the ethnography of the Nizhneobsky Khanty and Nenets in the early 1770s is proved.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".