El desempleo juvenil en España y Castilla y León
Bibliographic record
Abstract
El objetivo del trabajo es analizar el desempleo juvenil en España y Castilla y León, poniendo en contexto todos los rasgos característicos que puedan afectar directa o indirectamente sobre el objeto de estudio. Para ello, se realiza un análisis descriptivo y explicativo tomando como referencia el periodo comprendido entre 2005 y el primer trimestre de 2018. \nCastilla y León en comparación con España, se encuentra en una posición notablemente favorable en lo que a paro se refiere. La tendencia en los últimos años demuestra que el desempleo, tanto en España como en CyL, está registrando un comportamiento positivo, a lo que hay que añadir que en Castilla y León el paro desciende a un ritmo mayor que en España. \nFactores como las deficiencias del sistema educativo y del mercado de trabajo, explican la relevancia del desempleo juvenil en España. Otros factores con menor relevancia que los mencionados anteriormente, son el abandono escolar y la escasa efectividad de las políticas activas de empleo utilizadas para mejorar la situación.
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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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".