The Impact of the Russian Military System on Nineteenth Century Russian Expansionism in the Caucasus and Central Asia
Bibliographic record
Abstract
This work explores the Russian military system after the Napoleonic Wars, and the impact the military ideologies developed therein had on Russian expansionist efforts in two separate conflicts. The Russian conquests of the Caucasus and Central Asian regions are the expansionist efforts under focus, and specifically battles at Dargo in the Caucasus and Khiva in Central Asia are analyzed. It is argued that, due to a Russian military system that refused to move away from Napoleonic era tactics and ideas, the conquest of the Caucasus was a far more difficult endeavor than the Russian seizure of Central Asia, where largely similar tactics were employed. The established Russian military system created a military that was ill-suited for combat in the Caucasus, and disabled its ability to learn from that conflict. This same system was equally responsible for allowing the Russians to easily defeat their enemies in a Central Asian setting.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".