2003 CAP reform: Impacts of various options on supply in French regions
Bibliographic record
Abstract
Generally speaking, total aid decoupling, one of the possible options of the 2003 reform, leads to a decline in arable crops and an extensification in beef production; this extensification avoids rural decline. However, developments differ according to regions. Arable crops remain more stable in the already specialised regions and instead drop in the least favoured areas, particularly in mountains. Total decoupling is mainly unfavourable to suckler livestock in French central regions where there are at the same time extensification (when livestock is already extensive) and livestock reduction. BSP partial decoupling is not sufficient to reverse these trends, conversely to Suckler Cow Premium (SCP) recoupling. In more intensive regions, for example in the West, adaptation possibilities appear to be bigger, even in the case of total decoupling: beef cattle do not decline with the extensification which is conducted to the detriment of arable crops. So partial recoupling may lead to an increase in beef cattle. If the objective of the public authority is to maintain equilibrium in beef cattle distribution, keeping the coupled premium for suckler-cows may be justified.
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.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".