Bibliographic record
Abstract
Il y a aussi des chapitres en français. There are also chapters in English. Cap. 1. Recordar y olvidar: emprendedores y lugares de memoria, Iñaki Arrieta Urtizberea. Cap. 2. De monumentos de piedra a patrimonio inmaterial. Estrategias políticas, museológicas y museográficas de presentación de la memoria. Xavier Roigé. Cap. 3. La représentation du conflit dans les musées en Irlande du Nord : stratégies d'exposition. Karine Bigand. Cap. 4. La memoria del exilio republicano a través de sus espacios: patrimonio, turismo y museos en el territorio catalán transfronterizo. Jordi Font Agulló, David González Vázquez, Gemma Domènech Casadevall y Salomó Marquès Sureda. Cap. 5. De las trincheras al museo: sobre el reciente proceso de patrimonialización de la Guerra Civil española en Euskadi. Xabier Herrero Acosta y Xurxo M. Ayán Vila. Cap. 6. Donner corps à une mémoire et faire éprouver le passé : appréhender la muséalisation de la mémoire au Musée de la Stasi de Berlin Lichtenberg. Marie Hocquet. Cap. 7. Le visible et l’invisible des mémoires douloureuses aux musées. Dominique Chevalier. Cap. 8. Patrimonialización de lugares vinculados a memorias traumáticas: políticas públicas sobre el pasado reciente en Uruguay. Ana María Sosa. Cap. 9. Del relato oficial a la recepción de los visitantes: análisis de la puesta en escena del pasado reciente en el Museo de la Memoria y de los Derechos Humanos de Chile. Malena Bastías Sekulovic. Cap. 10. Creating Peace at the Canadian War Museum. Kathryn Lyons. Cap. 11. Promenades sur les champs de ruines. Jean-Yves Boursier.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 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; 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".