The Russo-Ukrainian War: Political and Trade Implication for American Neighbourhoods
Bibliographic record
Abstract
The Russo-Ukrainian War has had very profound implications on world politics and trade, especially for those countries that, due to their geographical, ideological, or political position, have decided or had to take clear positions. In line with their decades-long relations, Cuba has held a position generally aligned in favour of Russia, while the neighbouring United States is in favour of Ukraine, leading the regional situation in Central and North America to develop on these two fronts. In this directive, Mexico and Canada, historical American allies, show that, despite their support for the Ukrainian cause, the international political and commercial line seems to distance us considerably from the United States with regard to Russian allies in Central America, such as Cuba. Not only that. While Canada shows continuity in political and commercial relations, Mexico seems to gradually distance itself from the alliance with the United States, not only maintaining and improving relations with Cuba but perceiving the historical and ideological alliance with the island as a political counterweight to the US’s role in the area.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".