A. E. Fersman on the Kola Peninsula: expedition work and formation of the historical and ethnographic profile of the region.
Bibliographic record
Abstract
A. E. Fersman —the legendary organizer and leader of most of the Khibiny expeditions in the 1920s. In regional history, the name of the academician who was engaged in research on the Kola Peninsula for two decades continues to be associated with the industrial industrialization of the Central part of the Kola Peninsula, the creation and development of a stationary branch of the Academy of Sciences in the Arctic, and the formation of new professional communities. The article deals with some issues of creating a historical image of the region in the so-called "pre-urban" or expedition period of geological and mineralogical study of the Khibiny mountain range. The sources were popular scientific works of academician A. E. Fersman, devoted to the results of the Khibiny discoveries in the 1920s and 1930s, magazine and newspaper publications, memoirs of Khibiny researchers about the expedition work on the Kola Peninsula. The system of representations of participants of geological expeditions about natural and social spaces of Khibiny, ways of interaction of research teams with local population, and also influence of geological discoveries on change of historical and ethnographic profile of the region are considered.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".