Aspectos religiosos de las exhumaciones / Religious Aspects of Mass grave Exhumations. Panel 4 del congreso "Cuerpos incómodos: Violencia masiva, fosas comunes y necropolítica"
Bibliographic record
Abstract
Vídeo del Panel 4 del "Congreso Internacional. Cuerpos incómodos: Violencia masiva, fosas comunes y necropolítica”. Celebrado en Donostia en el marco de los cursos de verano de la Universidad del País Vasco los días 18-21 de julio de 2008. El panel 4 incluye las siguientes conferencias: Ulrike Capdepón (moderadora); María García Alonso (UNED): El poder de los huesos. Usos religiosos y profanos de las reliquias de la guerra civil española / The Power of Bones: Religious and Profane Uses of Spanish Civil War relics. Miriam Saqqa (CSIC): Investigando la biopolítica del franquismo. Del cadáver al archivo / Investigating the Biopolitics of Francoism: From the Corpse to the Archive. Marije Hristova (CSIC) y Monika Zychlinska (U Warsaw): Łączka in a Jar: Devotion and Sacralization in Mass Grave Exhumations of the Cursed Soldiers in Poland / Łączka en un frasco. Devoción y sacralización en las exhumaciones de fosas comunes de los soldados malditos en Polonia. Germán Labrador (U de Princeton): La memoria y la piedra. La represión franquista y el arte popular en la Galicia de posguerra / The Memory and the Stone: Francoist Repression y Popular Art In Postwar Galicia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".