EURASIA'S RESISTANCE TO THE OCEANIC POWERS THE US-RUSSIA CONFLICT AND ITS IMPLICATIONS FOR THE EU, CHINA OR INDIA
Bibliographic record
Abstract
Geopolitical Eurasia is the large continental mass with the Heartland core group: Russia, Iran, Kazakhstan, Turkmenistan, Mongolia and so on, exporters of raw materials by direct land and the Continental Rimland: China, Germany, Turkey, Italy, South Korea, India, Pakistan, Thailand and so on, made up of Continental Powers, while the Oceanic Powers, led by the US dominating maritime trade and oceanic embargo capacity, brings together exporting powers: Australia, Canada, Saudi Arabia, UAE and so on and industrialized maritime powers: Great Britain, Japan, etc., alongside exporting states constrained by them, from Africa, Latin America and island Asia. If the US succeeds in the trade blockade of the Heartland, stopping the export of cheap and abundant raw materials, it indirectly brings the European Union, mainland East Asia (China) and South Asia (India) to its knees, delivering four strikes direct and preventing the emergence of a power that would take its place as world leader. If the Rimland manages to bypass the American embargo by continuing to import from Heartaland, Britain will lose dominance in Europe to Germany, Japan will lose the dominance of Asia before China, Saudi Arabia before Iran and India will dominate the Indian Ocean, hence the 3+1 main regions taking over Africa, America and Australia, which will culminate in the decline of the US power, the dominance of the Eurasian world and of the continental powers before the maritime powers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".