Bystrova, Nina E. ‘Russkii vopros’ v 1917 - nachale 1920 g.: Sovetskaya Rossiya i velikie derzhavy. Moscow: Institut rossiiskoi istorii RAN, Tsentr gumanitarnykh initsiativ, 2016. 368 p
Bibliographic record
Abstract
Long dismissed as the "forgotten war", Russia's involvement in the World War I is fi nally getting the attention it deserves.This renewed interest in the confl ict, resulting from many commemorations and conferences, not to mention freer access to the archives, has also done much to make the Eastern Front an important part of the Great War's broader narrative.The same is true of Russian diplomacy during the period.It is against that background that the international "Russia's Great War and Revolution" project of has produced a two-volume collection devoted to Russia's foreign aff airs from 1914 to 1921.'Russkii vopros' v 1917 -nachale 1920 g.: Sovetskaya Rossiya i velikie derzhavy [The 'Russian Question' from 1917 to the beginning of 1920: Soviet Russia and the Great Powers], the new book by Dr.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".