Regímenes cambiarios y relaciones económicas internacionales del Reino Unido y sus consecuencias antes y después del brexit
Bibliographic record
Abstract
The objective of this research is to analyze the exchange regimes and international economic \nrelations in the case of the United Kingdom. The exchange rate regime refers to a set of policies \nadopted by a country through its central bank regarding the value of the currency and its parity, in \nrelation to its exchange rates, it is essential to know the type of exchange rate regime that is \nmaintained and how This influences, mainly in the monetary and exchange policy because this \ndirectly affects the fluctuation of the exchange rate. \nEach country is free to adopt the regime it considers optimal, and it will do so using monetary \nand exchange policies, based on its economic policy that allow it to improve international trade \nand its economic growth projections. The United Kingdom has a floating exchange rate regime or \nit can also be considered mixed. This country, like other countries, is an essential part of some \ninternational organizations that have been formed throughout history. In addition, it maintains \nspecial historical relationships with Commonwealth countries, the United States, and Canada. \nThe relations that the United Kingdom has allow it to obtain an important participation in the \nworld economy and in the commercialization of the different products or services that are offered \ninternationally to the member countries, and likewise those that do not belong to the \norganizations, be it characterized its local currency in recent times before Brexit as a strong \ncurrency against the euro and against the dollar, to maintain a high commercial dependence with \nits European partners after Brexit, demonstrating a strong economic growth of 2021 greater than \nthat of 1941 , it should be noted that all this has allowed it to maintain its economic stability and \nprice stabilization, despite having suffered the regional and global impact due to the pandemic \neffects of the coronavirus, the United Kingdom has been able to demonstrate that with a smooth \nBrexit, they still maintain high dependence in its production of goods and services in the \ninternational context, despite the uncertainty that could have in the medium and long term to \nbreak away from its main European partners
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".