Characteristics of foreign trade between the Serbia and Russian Federation
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
Many studies proves that all economies have had high rate of economic growth in the long run (increase of 7% for more than two decades) that was without any exceptions export-driven. Analysis of foreign trade between the Serbia and Russian Federation should reveal segments in foreign trade where amount traded should be intensified. Two decades ago Russia was the most important Serbian foreign trade partner, where Serbia had foreign trade surplus. Today Serbian export to Russian Rederation covers onlz quarter of its import, despite the fact that two ceountries signed Treatment on foreign trade in August 2000. In the first chapter of the paper we analyze Serbian economic structure, due to the fact that economic structure deteminate export. The new model of Serbian economic growth should be based on tradeble economic sectors. Russian model of economic development, that had been significantly changed during hte last two decades in transition from planned to market economy, is subject of analysis in the second chapter. In the third chapter of the paper Serbian-Russian Federation foreign trade is analysed in order to discover which market segments could be important for Serbian exporters.
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 | 0.000 |
| 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