Russian military statistical institutions of the second quarter of the XIX century: The results of their practical activities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article is devoted to the formation and activity of military statistical institutions in the Russian Empire in the first half of the XIX century. The ruling circles faced the task of establishing a serious and permanent organization of administrative and military statistics for the best management of the Russian armed forces, which were the backbone of the autocratic regime. In addition, it was necessary to collect comprehensive military statistical data on the country’s capabilities and on the military systems of leading nations. Respective military statistical bodies had to be established to keep records and compile analytical reporting material, both for the Ministry of War and personally to the head of state, the emperor. This process was underway in the second quarter of the 19th century, during the reign of Nicholas I, until the end of the Crimean War of 1853–1856. A special role in the military statistical study of the Russian Empire was played by the future minister-reformer of the armed forces D. A. Milyutin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it