100th anniversary of the discovery of the Verkhnekamskoye deposit of potassium and magnesium salt
Bibliographic record
Abstract
The richest natural heritage of the Perm Krai is connected with the ancient Perm Sea. Its drying led to the formation of lagoons, which were eventually covered by sedimentary rocks. As a result, the Verkhnekamskoye deposit of potash and magnesium salts (VDPMS), the largest in the world in terms of ore reserves (after Canada), was formed in the north of the region. This made it possible for the Northern Kama Region to become the largest supplier of table salt and soda for the regions of Russia during the pre–Soviet period, and during the Soviet period it became the most important and practically the only center for the production of potash fertilizers and non-ferrous metals, primarily magnesium and titanium. Based on materials from the State Archive of the Perm Krai (SAPK), the Perm State Archive of Socio-Political History (PermSASPH), the collections of the Solikamsk Museum of Local Lore, the Bereznikov Historical and Art Museum named after I. F Konovalov, corporate museums of Berezniki potash workers, metallurgists and nitrogen workers the contribution of scientists whose research helped Professor Pavel Ivanovich Preobrazhensky discover the world’s richest deposit of potash and magnesium salts in Verkhnekamy on October 5, 1925, is shown. That contributed not only to the rapid industrial and socio-cultural development of the Western Urals, but also ensured the steady growth of industrial potential in many sectors of the national economy, significantly increased the country’s defense capability during the Soviet and post-Soviet periods, and became Russia’s only center for titanium-magnesium production and rare earth elements.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.043 | 0.027 |
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".