Фонд 301 «Бакинский комендант» Кизлярского комендантского архива ЦГА РД как источник по истории императорских гарнизонов на территории Западного и Южного Прикаспия в 1722–1735 гг
Bibliographic record
Abstract
authors consider Fund of 301st of The of Baku of the Central State Archive of the Republic of Dagestan in Makhachkala by showing information of original sources that they introduced in the scientific revolution first as a source for the history of grassroots of Nizovoy corps of the Russian army in the West and the south coast of the Caspian Sea in 1722 -1735 years on the territory of modern Azerbaydzhan and Iran in this scientific article. It is explained and underlined the importance of original sources which has not yet come into the view of researchers to study the role of grassroots of Nizovoy corps in the implementation of the Eastern policy of the Russian Empire in the first quarter of the XVIII century in this article. It will highlight the wide range of problems a study of available documents of The of Baku´ fund as the fund of Derbent commandant revealing the experience of various forms of interaction with the local population, to add new and update the known important traits in the coverage and understanding of this major foreign policy actions of Russia in the Peter´s epoch.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".