El triángulo azul: el teatro como recurso de sobrevivencia y espacio de memoria
Bibliographic record
Abstract
El triángulo azul es un vodevil sobre el Holocausto, de Laila Ripoll y Mariano Llorente, que recupera la memoria de los españoles republicanos que acabaron en Mauthausen. La fábula se basa en dos historias reales: el escondite y preservación de muchas de las fotografías sobre la barbarie nazi que dos españoles realizaron, y el vodevil que un grupo de prisioneros republicanos montó en la navidad de 1942 en el campo. Siguiendo el análisis de Marianne Hirsch, la obra puede considerarse como un ejemplo de postmemoria. En este ensayo se revisa desde una perspectiva dramática cómo se reconstruye, recupera y representa la identidad de algunos de esos olvidados del Holocausto, así como la importancia política de la obra teatral, sobre todo en términos de lo que ha significado el olvido.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.023 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".