FINANCIAL POLICY OF THE USA AND CANADA IN THE POST-SOVIET SPACE AT THE BEGINNING OF THE 21ST CENTURY (THE CASE OF THE EURASIAN ECONOMIC UNION MEMBERS)
Bibliographic record
Abstract
The paper deals with the development of financial and economic relations of the United States and Canada with post-Soviet states in the context of geopolitical processes in the Eurasian space. The author analyzes the nature of the North American investment capital impact on the internal development of the countries of Eurasia and on the dynamics of Eurasian integration. The paper highlights the most important events in the field of economic diplomacy of the United States and Canada, dynamics of volumes and sectoral focus of North American investments in the Eurasian region. A distinctive feature of the United States and Canada investment policy in the post-Soviet space is its politicization, its involvement in the global geopolitical projects of the West of the 21 st century. American business is most active in the countries of Eurasian Economic Union that already have developed the market institutions – Re- public of Belarus, Republic of Kazakhstan, Republic of Armenia, but it also acts in the Central Asia countries interested in attracting foreign capital. The work focuses on an analysis of the development of financial and economic rela- tions of the United States and Canada with post-Soviet states by the example of the Eurasian Economic Union members – Republic of Armenia, Republic of Belarus, Republic of Kazakhstan and Kyrgyz Republic (except of Russian Federation, whose relationship with the United States and Canada should be the subject of a separate study).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".