Brics’ Foreign Debt Burden and its Impact on Core Institutional Basis
Bibliographic record
Abstract
Creation of a multipolar international economy and economic relations is accompanied by shifting gravity centers of international finances, redistribution of positions on the global market for financial services in favor of large emerging countries and countries with transitional economies. This post crisis period triggered serious problems related to international capital inflows and outflows at the BRICS states. This is all due to a slow recovery of developed countries; a high probability of a full-scale debt crisis in some E.U. states; mounting uncertainties following financial reforms in some states, etc. But raising debt as an important way to finance speedy economic growth and import of technologies to the BRICS countries make their financial systems more vulnerable to exogenous stresses and shocks, which result in an unreasonable firming of national currencies. In our research, we have identified the risks and misbalances of global development, which affect BRICS, evaluated the influence of foreign debt and singled out the key growth trends. We have revealed the importance of the New Development Bank development, which will help solve urgent problems of its participants connected with their growing role in international economic relations: the creation of a regional financing mechanism as well as a core institutional basis to represent BRICS’ interests in the global financial structure and to become the missing link in interaction with global financial institutions.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".