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Record W3173046292 · doi:10.4000/bresils.9368

L’art populaire au Brésil et le musée Casa do Pontal

2021· article· fr· W3173046292 on OpenAlexaff
Angela Mascelani

Bibliographic record

VenueBrésil(s) · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicUrban and sociocultural dynamics
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

En examinant comment la notion d’art populaire a pris forme au Brésil, cet article permet de constater que les figurines, et sculptures réalisées par des personnes appartenant aux classes populaires peuvent être vues comme des productions artistiques. En parallèle, il met en lumière les efforts déployés par le Museu Casa do Pontal, depuis sa création par Jacques Van de Beuque en 1976, et, après lui, au cours de ces vingt dernières années. Il montre notamment comment l’institution a contribué à une plus grande appréciation de cette production et a œuvré pour la reconnaissance du rôle des artistes et la diffusion qualifiée de leurs créations, tout en insistant sur l’attribution de leurs autorités respectives.

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)0.003
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 score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.011
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.001

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 head0.024
GPT teacher head0.283
Teacher spread0.259 · 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
Published2021
Admission routes1
Has abstractyes

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