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Record W7001914296

Legitimaciones sociales de las políticas patrimoniales y museísticas

2011· book· es· W7001914296 on OpenAlexaboutno aff

Bibliographic record

VenueCommunities in ADDI (University of the Basque Country) · 2011
Typebook
Languagees
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Social lifeSocial impactSocial relationship
DOInot available

Abstract

fetched live from OpenAlex

Cap. 1. Proyectos patrimoniales y museísticos en las sociedades democráticas y capitalistas: entre la legitimación formal y la vinculación social. Iñaki Arrieta Urtizberea.
\nCap. 2. Musées et patrimoine immatériel au Québec : enjeux politiques et sociaux. Laurier Turgeon.
\nCap. 3. “El patrimonio pertenece a todos”. De la universalidad a la identidad, ¿cuál es el lugar de la participación social? Victoria Quintero Morón.
\nCap. 4. La legitimación social y política de los museos: dos casos del estado de Oaxaca, México. Teresa Morales Lersch y Cuauhtémoc Camarena Ocampo.
\nCap. 5. Reinterpretaciones de la misión social de los museos: políticas de la cultura en la red de museos de Loures, Portugal. Marta Anico.
\nCap. 6. La comunicación de los museos y sus relaciones con las políticas culturales de las ciudades. Entre la repetición de estrategias y la innovación. Daniel Paül i Agustí.
\nCap. 7. El Patrimonio de la Guerra Civil como útil de concienciación social al amparo de la Ley de la Memoria Histórica. Óscar Navajas Corral y Julián González Fraile.
\nCap. 8. Política y planificación museística, y participación social en Cataluña: un breve recorrido histórico y algunas reflexiones. Daniel Solé i Lladós.
\nCap. 9. Diagnóstico de las acciones de los museos catalanes como parte de las políticas de integración. Fabien Van Geert.
\nCap. 10. Los inexistentes alcornocaleños y las experiencias museísticas etnográficas en el Parque Natural Los Alcornocales. Agustín Coca Pérez.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.007
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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.

Opus teacher head0.069
GPT teacher head0.231
Teacher spread0.162 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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