La adaptación del Sistema Nacional de Incentivos Regionales a la Ley para el Desarrollo Sostenible del Medio Rural
Bibliographic record
Abstract
En enero de 2008 entró en vigor la Ley para el desarrollo sostenible del medio rural. Con el objetivo de fomentar la actividad económica en estas áreas, propone que el sistema nacional de incentivos regionales dé un trato preferente a las zonas rurales consideradas prioritarias. En junio de 2010 se aprueba el Programa de Desarrollo Rural Sostenible para el periodo 2010-2014 y con él, los incentivos regionales adquieren el papel protagonista como instrumento al servicio del desarrollo rural.Este artículo tiene por finalidad contrastar si los incentivos regionales concedidos entre 2008 y 2010 muestran algún tipo de discriminación positiva a favor de las zonas rurales, en general, y de las menos desarrolladas en particular. Es decir, si han comenzado a adaptarse al nuevo escenario en el que deberán representar su papel de manera efectiva desde 2010.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".