Evaluation of the effectiveness of integration processes of regional integration associations (on EU EXAMPLE, NAFTA, EAEP)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article is devoted to the analysis of possible scenarios for the development of the leading regional integration associations: The European Union (EU), the North American Free Trade Area (NAFTA) and the Eurasian Economic Union (EAEU) based on the study of the export dynamics of the studied groups of countries. The choice of the designated integration associations is due to various stages of the integration processes of the studied groups of countries. As you know, the EU is the only integration association that has gone through all the stages of integration interaction. In turn, the peculiarity of NAFTA is that there is a gradual decrease in tariffs in the implementation of trade between the member countries (USA, Canada, Mexico). Note that the designated association does not regulate the trade of member countries with third countries. In turn, the EAEU is the youngest and most dynamically developing integration association. The novelty of the approach presented in the framework of this work lies in the proposed methodology for predicting the dynamics of export volumes of the studied groups of countries based on an assessment of the dynamics of the following macroeconomic indicators: GDP, PPP, inflation, and unemployment. The essence of the methodology presented in the framework of this work is as follows: at the first stage, the choice of macroeconomic indicators necessary for conducting the appropriate analysis is carried out. The next stage consists in forecasting the dynamics of the selected macroeconomic indicators for the period chosen by the authors using the growth curve models. The final stage in the framework of the presented methodology is the compilation of the corresponding regression equations using the indicated macroeconomic indicators. In turn, the result of the research carried out within the framework of this work is the analysis of development scenarios for each of the studied integration groups using the author’s methodology, which is based on a combination of the use of growth curve models and the method of regression analysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it