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Record W6939296178 · doi:10.60692/gn4rq-vh165

Arte/Arquivo: Conexões possíveis entre Hubert Duprat, Alfredo Jaar e Rosângela Rennó

2018· article· pt· W6939296178 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2018
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsWork (physics)Discussion boardDuration (music)

Abstract

fetched live from OpenAlex

Este artigo faz uma análise da obra do artista francês Hubert Duprat (1957-),"Tri-choptère: la dernière bibliothèque", prefi-gurando uma biblioteca, onde o assunto abordado pela coleção são as larvas Tri-cópteras, e o material disponibilizado é composto, na sua grande maioria, pela coleção do artista. Problematizando questões como o arquivo que se torna obra de arte, Duprat propõe um trabalho onde memória e coleção são transpassados pela arte, e o espectador é convidado a interagir com o acervo e com seus conceitos, em uma movimentação onde Duprat reinventa sua própria coleção, sua forma de se apresentar ao público como artista, colocando em questão os conceitos de exposição, coleção e arquivo. Para estabelecermos um diálogo com esta obra, trazemos o artista chileno Alfredo Jaar (1956-), cuja poética igualmente permeia a noção de arte enquanto arquivo, bem como uma instalação de Rosângela Rennó (1962-) onde percebemos relações e conexões com os trabalhos apresentados, nos quais percebemos a inserção do artista por um movimento de colecionismo, onde as obras têm sua corporalidade repensada e o artista nos faz refletir sobre o que são estas plataformas constitutivas da arte.

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)0.006
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 score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0130.020
Scholarly communication0.0160.006
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.023
GPT teacher head0.197
Teacher spread0.174 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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