Narcisos insubmissos: autorrepresentação, identidade e diferença nas artes visuais ibero-americanas
Bibliographic record
Abstract
Diante da compreensão de que compartilhamos um passado histórico e sociocultural recente e similar (semiperiférico, ditatorial, colonial, cristão, monoteísta patriarcal), o que as artes ibero-americanas teriam a dizer sobre as ficções dominantes e com que ferramentas estéticas e dissensuais fariam frente a um consenso policialesco de gênero, sexualidade, raça e classe social? Que cenas, gestos e rostos, mesmo que transitórios, ambíguos e relacionais, poderiam perturbar determinados regimes policialescos não apenas de raça, gênero e classe, mas também perturbar as próprias ficções dominantes no campo das artes? Com este número, pretendemos analisar então as operações discursivas e estéticas que ocorrem quando são as subjetividades subalternas que representam a si mesmas, em vez de serem retratadas a partir do olhar de um Outro hegemônico que frequentemente procura coisificá-las, dominá-las e observá-las de uma distância que não contamine sua subjetividade.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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; both teacher heads agree on what is shown here.
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".