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Uma análise de custo-benefício do museu da imagem e do som da cidade do Rio de Janeiro

2013· article· pt· W2022754525 on OpenAlexaff
Ronaldo Serôa da Motta, Ramón Arigoni Ortiz

Bibliographic record

VenueRevista de Economia Contemporânea · 2013
Typearticle
Languagept
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsEcoMetrix
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Este artigo apresenta uma análise de custo-benefício do novo Museu da Imagem e do Som (MIS) que o Governo do Estado do Rio de Janeiro em parceria com a Fundação Roberto Marinho está construindo na cidade do Rio de Janeiro. O museu vai ampliar o acervo da produção cultural carioca, tanto a sua história quanto à sua produção futura. Nosso estudo estima inicialmente os benefícios associados ao novo museu relativos ao: (i) valor de não uso ou cultural; e (ii) valor de uso turístico aplicando o método de valoração contingente seguindo as recomendações e procedimentos estimativos consagrados na literatura, em especial para controle do viés de escopo e protesto. Ao compararmos esses benefícios aos respectivos custos de implantação, estimamos uma taxa interna de retorno entre 25,5% e 54,8%, indicando que o projeto do novo MIS apresenta uma alta viabilidade social.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.016

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 head0.059
GPT teacher head0.229
Teacher spread0.170 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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