CRUZAMENTOS E TENSÕES: MESTIÇAGENS NA ARTE CONTEMPORÂNEA NO BRASIL E NO CANADÁ.
Bibliographic record
Abstract
O texto aborda obras de artistas do Canadá e do Brasil que propõem novos cruzamentos geradores de tensões no interior de seus sistemas de signos. O estudo privilegiou duas problemáticas: as obras que se estruturam como cartografias, imaginárias e críticas que abrem ao mais-além constituído pela utopia, e as obras nas quais o som predomina sobre o visual, provocando uma abertura dos limites deste último. As tensões criadas nessas duas modalidades de obras carregam nelas próprias os princípios das mestiçagens, o que provoca a necessidade de criação de novos paradigmas para o campo da arte contemporânea. Résumé: Ce texte aborde des oeuvres d’artistes du Canada et du Brésil, qui proposent de nouveaux croisements générateurs de tensions à l’intérieur de leurs systèmes de signes. L’étude a privilégié deux problématiques: les oeuvres qui sont structurées comme des cartographies, imaginaires et critiques, qui ouvrent à l’au-delà constitué par l’utopie; et les oeuvres où le son prédomine sur le visuel, en provoquant une ouverture des limites de ce dernier. Les tensions créées dans ces deux modalités d’oeuvres portent en elles-mêmes, des principes des métissages, ce qui provoque le besoin de création de nouveaux paradigmes pour le champs de l’art contemporain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.023 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".