The Union State at a New Stage of Economic and Socio-Political Integration
Bibliographic record
Abstract
Aim and tasks. To identify patterns and stages of formation of the Union State as a fundamentally new integration association in the Eurasian space. Methods. System analysis of integration processes and synergistic effect of interaction and cooperation in the economic and socio-political spheres. Results. The main aspects of life of the Belarusian state and society in the post-Soviet period: development of the political system, economic reforms, policy in the sphere of culture, language, national relations and historical memory, foreign policy. The position is substantiated that, despite many positive changes over a quarter of a century, the need to improve the political form of the Union State and the legal model of Russian-Belarusian cooperation is not removed from the agenda. Special relations between the leadership of the countries and their broadest popular support ensure the sustainability of integration, but the level of operational management at the level of departments and territories needs to be improved. Conclusions. Russia and Belarus in their integration interaction have created a new type of supranational state in the Eurasian space with its inherent confederative and federal features.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".