Izvirni znanstveni prispevek EU ACCESSION DIRECT PAYMENT ISSUE AND FARM INCOMES IN SLOVENIA
Bibliographic record
Abstract
In this article estimation of gross value added (GVA) applying extended economic account for agriculture (EAA) model and partial equilibrium APAS-PAM model has been carried out to emphasize the importance of direct payments for farm incomes in Slovenia after its EU accession. Scenario analysis for hypothetic accession year 2004 with different levels of direct payments ' complementing from national budget has been applied. Model results have been compared with agricultural income in 2000 as representative pre-accession year. Results for 2004 depend on accession scenario but show the same trends regardless the model applied. Adopting EU position of complementing direct payments up to year 2001 level significant aggravation of farm incomes at aggregate level could be expected according to EAA results for about 15 % and in accordance with APAS-PAM forecast even more than a quarter due to negative production effects, imposed by depressed price level. Complementing direct payments from national budget up to the level eligible by current Member states would not result in marked improvement of agricultural income. GVA estimates depend on the outcome of accession negotiations regarding production quotas and reference quantities. Nevertheless,
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".