Placing Agriculture within Rural Development: Evidence from EU Case Studies
Bibliographic record
Abstract
In the light of four competing models for rural development (agrarian, exogenous, endogenous, and neo-endogenous) we evaluate the relationship between agriculture, agricultural policy, and rural development in five regions in established EU member states: Borders, Midlands, and Western Region (Ireland), Navarra (Spain), Tyrol (Austria), Skåne (Sweden), and Altmark (Germany). Evidence suggests that both the agrarian and exogenous models are anachronistic. However, the Common Agricultural Policy remains closest to the agrarian model of rural development, and in its current form fails to promote a wider rural and territorial development. The LEADER programme, which is often perceived as a viable alternative approach to rural development, fits most closely with the neo-endogenous rather than with the endogenous model. Nevertheless, for EU policy to fully embody the neo-endogenous model a far more fundamental reform of the CAP would be required than that agreed in the wake of the Health Check.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".