Criminological and criminalistic research opportunities in Spain on the subject of the spanish civil war/Oportunidades de investigación criminológica y criminalística bajo la guerra civil española
Bibliographic record
Abstract
Tens of thousands of Spanish and foreign non-combatants were illegally detained and executed during the Spanish Civil War and postwar repression. Their bodies are believed to lie in unmarked mass graves throughout the country. The need for criminological and criminalistic research is great. This article discusses different aspects of the work and suggests the involvement of Mexican academics and forensic practitioners. Justifications for such foreign involvement are outlined as are points of mutual Spanish-Mexican benefit. \n \nDecenas de miles de no-combatientes españoles y extranjeros fueron ilegalmente detenidos y ejecutados durante la guerra civil española y durante la represión de la posguerra. Muchos de los cuerpos yacen en fosas comunes no marcadas en todo el país. La necesidad de investigación criminológica y criminalística es grande en este contexto. Este articulo habla de aspectos diferentes del trabajo y sugiere la participación de académicos y forenses mexicanos. Se resumen las justificaciones para tal colaboración y los aspectos del beneficio mutuo Español-Mexicano.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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; 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".