Trabajadoras eventuales agrícolas subsidiadas
Bibliographic record
Abstract
Con el eje de investigación focalizado en la prestación por desempleo para las trabajadoras eventuales agrícolas subsidiadas (TEAS) este artículo aborda en clave sociológica la política pública del subsidio agrario en Andalucía. Se proyecta el análisis en torno a tres secciones diferenciadas. En primer lugar, plantea retrotraerse a la génesis del subsidio a través de un recorrido sociohistórico. Posteriormente se examina empíricamente la estructura poblacional del subsidio. Por último, en la tercera sección, se testa mediante procedimientos propios del Análisis Espacial Exploratorio la relación entre localizaciones de alta incidencia del paro en Andalucía y mayor peso poblacional de las subsidiadas entre la población activa a nivel municipal. De los resultados obtenidos se desprende la evidencia de una estructura poblacional del subsidio fuertemente feminizada. Esta circunstancia da lugar a proponer el subsidio como un posible escenario de referencia para evaluar las políticas públicas actuales de ingresos mínimos vitales.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 teacher head, 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".