Smartization of International Trade as a Modern and Long-Term Trend of its Development: Characteristics, Factors, Possible Consequences
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
The article analyzes the current stage of international trade and the global trading system. It has been established that in the last quarter of a century there has been a comprehensive and profound transformation of the global trading system, as well as its new long-term characteristics. The main factors that have a stimulating effect on transformational processes in the field of global trade are identified and analyzed technological, economic and market, institutional and political, as well as global challenges and crises, under the influence of which the world trading system operates today. These factors have led to the democratization of global trade, i.e. the emergence and strengthening of such characteristics as transparency, inclusivity and adaptability in its system. These characteristics are inherent in trade processes taking place at the level of companies, regions, and the world as a whole, which requires countries to rapidly review their strategies and mechanisms in the field of international trade.
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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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