Formula to Determine the Countries Equilibrium Exchange Rate With the\n Dollar and Proposal for a Second Bretton Woods Conference
Bibliographic record
Abstract
This paper presents the way in which can be determined the exchange rates\nthat simultaneously balance the trade balances of all countries that trade with\neach other within a common market. A mathematical synthesis between the theory\nof comparative advantages of Ricardo and Mill and the New Theory on\nInternational Trade of Paul Krugman is also presented in this paper. This\nmathematical synthesis shows that these theories are complementary. Also\npresented in this paper is a proposal to organize a common market of the\nAmerican hemisphere. This economic alliance would allow to establish a\npolitical alliance for the common defense of the entire American hemisphere.\nThe formula we developed in this paper to determine the exchange rates of the\ncountries solves the problem that Mexico, Canada, Europe, Japan and China\ncurrently experience with the United States in relation to the deficits and\nsurpluses in the trade balance of the countries and their consequent impediment\nso that stable growth of international trade can be achieved.\n
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".