The Alpine Campaign of 1799 as a Stepping Stone to a Doctrine of Mountain Warfare
Bibliographic record
Abstract
The Russian Imperial Army fought for the first time in the mountains in 1799, when Alexander Suvorov led his corps from Italy across the Swiss Alps to join the Russian forces at Zurich and expel the French Army from Switzerland. His soldiers were skilled professionals who had won an impressive series of battles in Italy against the French. Suvorov did not anticipate problems in the Alps, being convinced that he would easily sweep away the small French garrisons deployed on his way. Yet, because of inexperience in mountain warfare, Suvorov’s corps struggled against enormous strategic, tactical, and logistical chal- lenges, lost half of its manpower and failed to attain its goals. The Swiss trek shows that mountain warfare defies amateurism, dilettantism and spontaneity. Even though mountains are located on the verges of Rus- sia, the Russian and then Soviet armies ignored the peculiarities of mountain warfare and fought every new campaign in the mountains the same way they would fight on the plains, with predictably dire consequences.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".