Social and professional appearance of officers of the Belgorod garrison in 1914: general and special
Bibliographic record
Abstract
In the post-Soviet period scientific research of the officer corps of the Russian Imperial army in the first quarter of the XXth century gained great popularity. The article is part of a large study on the ways of officers of the Imperial army in the years 1914–1922 in Voronezh, Kursk and Tambov provinces. We have tried to undertake a micro-historical analysis of a separate cohort of officers on the example of one of the garrisons of the Kursk province. Using the prosopographic method to identify the socio-professional appearance of the cohort, we were able to determine the general and special features of the officers of the Belgorod garrison on the eve of the First world war. The key point of this period of research were the issues: the study of the age composition of Belgorod artillery officers, the timing of their completion of military schools, the specifics of educational skills required in this kind of troops, as well as the presence of combat experience and national and religious composition of the cohort members. The obtained data allow us to continue studying the life ways of the personalities of our cohort during the World war, the Revolutions of 1917 and the Civil war.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".