Relevant Issues of Non-Proliferation and Arms Control: Systemic Approach
Bibliographic record
Abstract
We publish a summary report on the second joint seminar of the Russian International Affairs Council (RIAC), Primakov Institute of World Economy and International Relations of the Russian Academy of Sciences (IMEMO RAS) and “World Economy and International Relations” Journal, dedicated to the relevant issues in the field of international security. The discussion collected such prominent experts in the field as Fyodor Voitolovsky, Director of IMEMO RAS, RAS Corresponding Member; Andrey Kortunov, RIAC Director General; Sergey Rogov, Academician, Director of the RAS Institute of the U.S. and Canadian Studies; Evgeny Buzhinsky, Chairman of PIR Center, RIAC Vice President; Dmitry Danilov, Head of the European Security Department of the RAS Institute of Europe; and Vasily Kashin, Deputy Director of the Center of Comprehensive European and International Studies, HSE University, and Leading Reseach Fellow at the RAS Institute of Far Eastern Studies.
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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".