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Corpos radicais em coralidade: experiências em coralidades performativas na cena paulistana do começo do séc. XXI

2022· dissertation· pt· W4320057933 on OpenAlexaboutno aff
Francisco Lima Dal Col

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldArts and Humanities
TopicArts and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

\n A pesquisa parte de reflexões da experiência do pesquisador como performer em três obras cênicas Batucada (2014) de Marcelo Evelin/Demolition Inc.; Macaquinhos OPEN CU (2019); e LOBO (2018) de Carolina Bianchi y Cara de Cavalo para discutir a coralidade performativa (MARTINS et al., 2021) e seus possíveis princípios metodológicos. O autor apresenta as potências e as particularidades de uma cena coral performativa através de três eixos temáticos reconhecidos nas obras aqui estudadas em diferentes graus: o comum (HARDT; NEGRI, 2014; DARDOT; LAVAL, 2017), no qual entende-se a possibilidade da coralidade performativa como prática política do exercício de colaboração e compartilhamento entre sujeitos autônomos; a abjeção (KRISTEVA, 1982), na qual os aspectos abjetos dos corpos e das subjetividades tomam uma proporção específica devido à performance coletiva; e a contrassexualidade (PRECIADO, 2017, 2018a), que surge como base para práticas coletivas, onde construção de gênero, heterossexualidade compulsória, falocentrismo e outras questões da teoria queer são trazidas para a cena. A pesquisa propõe uma leitura e uma organização a partir das práticas performativas e das propostas éticas e estéticas de cada trabalho para pensar a criação de coralidades performativas que se localizam dentro da cena contemporânea brasileira, principalmente paulistana. Organizada dessa forma, a pesquisa busca contribuir para a discussão teórica e metodológica de processos criativos da cena performativa, podendo interessar a estudantes, professores de artes cênicas e artistas da cena em geral.\n

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0050.002
Open science0.0010.007
Research integrity0.0010.002
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 head0.035
GPT teacher head0.278
Teacher spread0.243 · 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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