Russian Troops in France and the Balkans (1916-1918) in the Historical Memory of the 20th - early 21st Centuries
Bibliographic record
Abstract
This article examines efforts to preserve the historical memory of Russian soldiers who fell in France, the Balkans and Africa during the Great War. Based on a wide range of sources, it discusses various aspects memory preservation, including research, the installation of monuments, the main military necropolises in France and the Balkans, relevant associations, as well as producing historical documentaries and museum exhibitions. The author discusses the monuments in Saint-Hilaire-Le-Grand, Laval and at the Holy Cross hospital near Toulon, as well as more recent memorials in Courcy, Brest, and Marseilles. He devotes special attention to the grave of the Russian Legion’s padre. The article Ralso addresses three documentary films about the Russian expeditionary corps: “20 Thousand Useless Men”, “They Fought in France”, and “The Stolen Victory”. At the same time, it considers efforts to preserve the memory of the Russian troops who fought in the Balkans, which already began in 1917, when the commander of the 2nd Special Infantry Brigade organised a team to preserve the graves of the soldiers who fell there in battle. Meanwhile, Russian diplomats helped to build monuments in Greece and Macedonia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".