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Viajando pelas emoções: encenando o erótico

2020· article· pt· W3095482354 on OpenAlexaff
David Johnston, Fernanda Saraiva Frio

Bibliographic record

VenueBelas Infiéis · 2020
Typearticle
Languagept
FieldArts and Humanities
TopicArts and Performance Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyArt

Abstract

fetched live from OpenAlex

Este artigo discute a tradução para a performance como um esforço humanista impulsionado pelo desejo de conexão com a alteridade. A partir das ideias de Gabriel Marcel, Georges Bataille e Slavoj Žižek, entre outros, ele descreve a tradução teatral nos termos de uma nostalgia pelo humano ausente, como uma prática preocupada em recuperar a conexão perdida, uma continuação do ser que vai além dos limites e restrições do racional. Nesse sentido, argumenta que há algo comum à promessa mantida pela tradução e pela experiência erótica. Em última análise, talvez o que acenda essa promessa seja o contraste com a posse de si mesmo, o antídoto para nosso modo descontínuo de existência como indivíduos definidos e separados.

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)0.003
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.026
Scholarly communication0.0140.009
Open science0.0010.009
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.062
GPT teacher head0.245
Teacher spread0.183 · 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
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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