Participación ciudadana, patrimonio cultural y museos: entre la teoría y la praxis
Bibliographic record
Abstract
Cap. 1. La Nueva Museologia, el patrimonio cultural y la participacion ciudadana a debate. Inaki Arrieta Urtizberea Cap. 2. Museos: del publico al ciudadano. Rafael Azuar Ruiz Cap. 3. Los publicos y lo publico. De mutismos, sorderas, y de dialogos sociales en museos y espacios patrimoniales. Luz Maceira Ochoa Cap. 4. La restitution du patrimoine: un role pour le musee? Etudes de cas dans les communautes innues du Quebec et du Labrador (Canada). Elise Dubuc Cap. 5. El museo de territorio y sociedad, ?una utopia? el caso del Museo Industrial del Ter. Carles Garcia Hermosilla Cap. 6. El ecomuseo del rio Caicena (Almedinilla-Cordoba): un proyecto de desarrollo rural desde el patrimonio historico-natural, ?y la participacion ciudadana? Ignacio Muniz Jaen Cap. 7. Me-tisser les memoires. Musees indiens du nordeste bresilien. Martin Soares Cap. 8. El patrimonio como proceso social. Intervencion, desarrollo y consumo del patrimonio minero en Andalucia. Macarena Hernandez Ramirez y Esteban Ruiz Ballesteros Cap. 9. Legislacion patrimonial, intervencion publica y participacion ciudadana en la declaracion de un conjunto historico. Inaki Arrieta Urtizberea Cap. 10. El castillo de Montsoriu. La participacion de la sociedad civil. Joaquim Mateu Gasquet Cap. 11. El patrimonio cultural; espacio de encuentro. Daniel Arnesio Lara Montero
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".