Brazil’s cooperation with Russia and the post-Soviet countries: quantitative analysis (195th anniversary of the establishment of bi-lateral relations)
Bibliographic record
Abstract
The current article examines relations between Brazil, Russia and the post-Soviet countries. Taking into account the histori-cal roots of Brazilian-Russian cooperation since the XIX cen-tury, the author focuses on the period 1985-2022, when Bra-zil began to change its position in the international arena, gradually becoming the leader of Latin America. The author analyses 3 data sets to see, if the connections between coun-tries are profound. Firstly, the number of visits of Brazilian presidents to Russia and the post-Soviet countries since 1985 to January 2023 (to see the depth of interactions between these countries and the evolution of political agenda). Sec-ondly, the political interaction (analysis of the content of ex-isting agreements signed by Brazil from 1822 to 1st January 2023 with Russia and other states). Thirdly, trade and eco-nomic indicators (mutual exports and imports from 1992 to 2022). These indicators are also compared with trade that Brazil has with other countries in the world (indicators are di-vided on several regions: Africa, Middle East, Asia and Eu-rope (without Russia and the post-Soviet countries), Latin America (all sub-regions plus Mexico), Oceania, North Amer-ica (the USA, Canada)). The conducted research shows that Russia has a specific place in Brazil’s foreign policy, while Central Asia and the Transcaucasian countries complements BRICS strategy for multipolarity. The real cooperation between Brazil and the post-Soviet republics began during Lula da Silva Precedency, thus, his new presidential turn is expected to revive relations of Brazil with this regional space.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".