La crisis de los refugiados y los deberes de Europa
Bibliographic record
Abstract
Europa se enfrenta hoy a la mayor crisis de refugiados tras la Segunda Guerra Mundial. Las sucesivas guerras en Afganistan, Irak, Libia, Sudan del Sur y Siria, la crisis social y politica que atraviesa el norte de Africa, el avance del islamismo radical y la descomposicion de los estados del Sahel, estan provocando grandes movimientos de poblacion hacia una Europa que, una vez mas, ve puesta a prueba su capacidad de respuesta politica, la identidad de su proyecto de union, las responsabilidades derivadas de su politica exterior y la solidez de su arquitectura juridica para la defensa y expansion de los derechos humanos. Los distintos textos que se presentan en este volumen buscan poner al alcance de un publico amplio algunas de las reflexiones surgidas desde el ambito academico sobre la llamada crisis de refugiados. Aunque centrada principalmente en Europa, tambien se incluyen analisis sobre otros paises como Mexico y Canada. El proposito de esta obra es proponer algunos ejes de discusion que contribuyan al debate social y politico, con una mirada amplia que no solo vuelque su atencion en las estadisticas, las cuotas y los dramas humanitarios que el Mediterraneo (convertido ya en mar de sangre) y las fronteras (convertidas muchas de ellas en fronteras de muerte) nos dejan, sino, sobre todo, en las respuestas politicas y juridicas
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".