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Record W1560127983

A Influência do Gesto na Performance em Percussão: Análise Fatorial de Correspondências sobre Dados Experimentais.

2013· article· pt· W1560127983 on OpenAlexaff
Fernando Chaib, Homero Chaib Filho, João Catalão

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicSensory Analysis and Statistical Methods
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Este artigo apresenta os resultados conclusivos das analises dos dados recolhidos do experimento “Sensacao de continuidade de um trecho musical” (CHAIB et. al. 2012) atraves da tecnica estatistica Analise Fatorial de Correspondencias (AFC). O objetivo principal dessa analise foi o de observar e constatar, atraves dos indices estatisticos, a influencia do gesto na transmissao de sensacoes de continuidade , suspensao e conclusao captadas por um individuo sobre a performance em percussao. Os resultados aqui apresentados permitem ao interprete percussionista delinear uma pratica performativa onde a gestao dos gestos corporais tornam-se fundamentais para a construcao da sua performance. Atraves das observacoes dos resultados poderemos perceber como a relacao cognitiva, sensorial e perceptiva entre o performer e o espectador nao podem ser ignoradas, correndo-se o risco de comprometer a qualidade do resultado performativo final. Uma vez alcancado o objetivo principal , sera possivel generalizar os resultados em performances realizadas sobre os mesmos moldes das apresentadas no experimento. Palavras-chave : Gesto; Influencia; Performance; Percussao; AFC.

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 categoriesInsufficient 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 score0.768
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0340.002

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 head0.035
GPT teacher head0.290
Teacher spread0.255 · 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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