HIGHLIGHTS OF ROMANIA’S CONTRIBUTIONS TO THE EU AGRICULTURAL SECTOR, ON THE BRINK OF THE NEW CAP
Bibliographic record
Abstract
The research focused on Romania’s contributions to EU-27 agriculture compared to the Member States, on the brink of the new CAP reform, from the perspective of the main statistical and synthetic indicators: 5% (7.8 billion Euros) share in EU’s gross value added, in 2013, due to a share of crop output of 6% and animal output of 2.4%; small shares both in exports and imports – the Romanian agri-food exports to the EU had small market shares, although an increasing trend was noticed in 2001-2013; the highest market share value of the period was in 2013, i.e. 1.2%. Romania’s agri-food trade balance had significant deficits, on the average -1.1 billion Euro in 2001-2006 and widened to a historical value of -1.9 billion Euro in 2007-2009; it continued with a balancing tendency up to the year 2013, which marked a positive trade balance of 343 million Euro, unique performance obtained in the last quarter of the century.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".