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Da anestesia a estesia: o acontecimento na letra da cancao “A banda”

2017· article· pt· W2762105456 on OpenAlexaff
Marcela Ulhôa Borges Magalhães

Bibliographic record

VenueEstudos Semióticos · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicSemiotics and Representation Studies
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

A publicação de Da imperfeição (2002), de Algirdas Greimas, fez com que a problemática do aconteci- mento emergisse dentro da teoria semiótica, chamando atenção para a necessidade de se colocar em relevo o estudo da continuidade, que, até então, havia sido deixado em segundo plano. A semiótica passou assim a direcionar suas preocupações para o universo do sensível, de modo a deixar-se influenciar pelas teorias fenomenológicas. Nessa nova configuração, Claude Zilberberg traz o acontecimento para o centro de suas preocupações e passa a abordá-lo sob a perspectiva da tensividade, desenvolvendo, assim, um instrumental de análise que passou a contribuir também para o estudo de narrativas que nascem do excesso. Este artigo tem como objetivo evocar esse arcabouço teórico desenvolvido em torno do acontecimento para analisar a letra da canção “A banda” (2007), de Chico Buarque, que apresenta o evento extraordinário em sua centralidade.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.022
Scholarly communication0.0080.006
Open science0.0010.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.078
GPT teacher head0.322
Teacher spread0.244 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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