The Common Agricultural Policy and the Increased Competitiveness of Spanish Regional Agriculture
Bibliographic record
Abstract
The cycle of the Common Agricultural Policy reforms begun in 1992 and that finished, for the time being, in 2013, profoundly transformed the agricultural framework of the EU. Taken as a whole, the process consisted of the progressive, partial and asymmetric liberalization of European agriculture, since much more emphasis was placed on dismantling intervention mechanisms than on aiding the restructuring, modernization and adaptation to a more competitive environment. In this context, and with an increasingly more open commercial policy, the States and the regions are obliged to design strategies to increase their competitiveness and innovation within the framework of the current Common Agricultural Policy (2014-2020). This is even more important for the regions most affected by the reforms. Under this argument, this paper reveals the principal qualitative and quantitative unknowns of the regional agricultural policy in Spain after the application of the Health Check in 2008, with special emphasis on the evolution of the Axis 1 of Rural Development.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 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; both teacher heads agree on what is shown here.
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".