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Record W4210608966 · doi:10.20396/modos.v6i1.8667204

Histórias entrelaçadas

2022· article· pt· W4210608966 on OpenAlexaff
Juliana Ribeiro da Silva Bevilacqua

Bibliographic record

VenueMODOS Revista de História da Arte · 2022
Typearticle
Languagept
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsQueen's University
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

O artigo tem por objetivo apresentar um panorama histórico das exposições de arte africana realizadas no MASP bem como tecer algumas considerações sobre as coleções africanas presentes em seu acervo. Apesar de o Museu de Arte de São Paulo ser reconhecido por sua coleção de arte europeia, essa instituição sediou e também organizou exposições de arte africana, além de ter constituído coleções. As exposições de arte africana realizadas no MASP podem ser entendidas basicamente, mas não exclusivamente, a partir de três perspectivas distintas: aquelas que respondiam a interesses privados, como é o caso da mostra Arte Negra (1953) e também daquela que exibiu a coleção africana do Bank Boston em 1976; as relacionadas à política de aproximação entre Brasil e África durante a ditadura militar no país, como é o caso de Arte Tradicional da Costa do Marfim (1974) e Arte Contemporânea do Senegal (1981); aquelas que exploravam a herança dos africanos no Brasil e estavam apoiadas na tese de fluxo e refluxo do tráfico de escravos, de autoria de Pierre Verger, cuja maior representante é África Negra (1988).

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)0.004
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 score0.082
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0050.005
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0820.012

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 head0.025
GPT teacher head0.231
Teacher spread0.206 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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