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Record W4296375684 · doi:10.5007/2175-8034.2022.e85965

Percepções urbanas: performances cênicas e experiência estética no espaço público

2022· article· pt· W4296375684 on OpenAlexaff
Céline Spinelli

Bibliographic record

VenueIlha Revista de Antropologia · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicUrban and sociocultural dynamics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Este artigo aborda intervenções cênicas no espaço público e como elas impactam nas cidades e nos seus habitantes. Embora ele derive de uma pesquisa etnográfica realizada no âmbito de festivais de circo, trata-se antes de uma reflexão de matriz interdisciplinar do que um aporte empírico pautado no trabalho de campo. O propósito consiste em demonstrar como espetáculos se inscrevem no espaço público, transformando tanto as cidades como as percepções dos habitantes sobre elas. Para isso, observaremos a cidade enquanto ecossistema e algumas estratégias utilizadas por artistas para adaptarem suas performances ao espaço público. Por fim, o enfoque repousará sobre festivais, dispositivos de difusão que ocupam cidades durante um tempo determinado, permitindo a realização simultânea de um conjunto de performances. Veremos que a experiência estética pode acionar o imaginário poético dos espectadores, sendo capaz de transformar as percepções e também os laços de pertencimento dos habitantes para com a cidade.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0040.008
Scholarly communication0.0130.004
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.002

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 head0.028
GPT teacher head0.310
Teacher spread0.283 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes1
Has abstractyes

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