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Record W1676895027 · doi:10.9771/r.v0i14.4661

<b>Desdobramentos do ator e do personagem pela máscara videográfica</b> <br>[Marta Issacsson]

2010· article· pt· W1676895027 on OpenAlexaboutno aff
Teatro Dança Repertório

Bibliographic record

VenueRepertório · 2010
Typearticle
Languagept
FieldHealth Professions
TopicHistory, Culture, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Esse artigo examina a encenação Os três últimos dias de Fernando Pessoa, do encenador canadense Denis Marleau, identificando os aportes oriundos da tensão instaurada pelo emprego da máscara videográfica entre a presença viva do ator e a sua própria imagem projetada. Além dos aspectos metafóricos evocados pelo desdobramento da figura do ator e da personagem, reconhece-se na imagem videográfica um potencial de produzir presença sob olhar do espectador, atualiza a imagem através de sua memória sensório-motora. This article focuses on the use of video-projected masks in the staging of Tabucchi's Les Trois Derniers Jours de Fernando Pessoa by the Canadian director Denis Marleau, analyzing the dramatic contributions and the performance of the tension established by the interplay between the live presence of the actor and his own projected image. This paper examines the metaphorical aspects evoked by the duplication of the figure of the actor and that of the character, as well as the notion of stage presence in face of the effect of realness produced by the device of video-projected masks.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.569
Threshold uncertainty score0.867

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1060.013

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 head0.320
Teacher spread0.292 · 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".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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