THE INITIAL STAGE OF THE FORMATION OF THE BLACK SEA ARMY IN THE BUGO-DNISTROV MEASURE
Bibliographic record
Abstract
The need for mobile fearless units that could oppose the Ottoman army in the last quarter of the 18th century contributed to the formation of an irregular formation from former Zaporizhia, which was later called the Black Sea Army. The army created for participation in the Russian-Turkish war of 1787–1791 left a noticeable mark in the history of the southern Ukrainian region, both in its military and socio-economic history. This article, written on the basis of the analysis of unpublished and published documents by I. Dmytrenko, P. Korolenko and other researchers of the State Archives of the Krasnodar Territory, highlights the process of gathering former Zaporizhia by volunteers from across the Danube and various corners of the Ochakiv Steppe. The author drew attention to the problems that arose during the formation of the army and the benefits that were "generous" to Catherine II.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| 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".