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Record W7051894533

O percurso do objeto pela trilogia museológica como estratégia de conservação preventiva : musealização, pesquisa e gestão em acervos com objetos de plástico em museus públicos no Rio Grande do Sul, Brasil

2019· dissertation· pt· W7051894533 on OpenAlexaboutno aff

Bibliographic record

VenueLume (Universidade Federal do Rio Grande do Sul) · 2019
Typedissertation
Languagept
FieldChemistry
Topicthermodynamics and calorimetric analyses
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ExhibitionHistorical heritage
DOInot available

Abstract

fetched live from OpenAlex

Aborda o percurso de objetos plásticos em museus públicos do Rio Grande do Sul, Brasil, sob a perspectiva da Musealização, da Pesquisa Museológica e da Gestão de Museus e de Acervos. Propõe considerar a Trilogia Museológica como estratégia de preservação. Enfatiza as características da Conservação Preventiva em acervos com materialidade plástica, a fim de repensar o âmbito da Conservação Preventiva em Museus e ao Patrimônio. Como referencial teórico, trabalha com os institutos de conservação Getty (GCI) e Canadian (CCI), bem como com referências de pesquisas sobre conservação em objetos plásticos musealizados. A metodologia é qualitativa, a qual se concentra em pesquisa documental, observação direta nos museus pesquisados e quadro metodológico e conceitual. Apresenta proposta metodológica para reflexão sobre os acervos em materialidade plásticas observados nas instituições Museu Julio de Castilhos e Museu de Arte Contemporânea do Rio Grande do Sul. Diante da quase inexistência de bibliografia que trate especificamente da conservação preventiva de objetos de materialidade plástica, espera-se contribuir para pesquisas futuras

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0040.001
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.012
GPT teacher head0.250
Teacher spread0.238 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2019
Admission routes1
Has abstractyes

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