Bibliographic record
Abstract
This essay analyzes three cycles of poetic works made between 2009-2012 (red, green and skin-gray color).The interaction of color and body in the three cycles emerged from hues and goals stipulated a priori, affecting the behavior of the body, what was perceived as poetry, in that they stimulated paintings, actions, objects...The main focuses of attention in each cycle were the transformations that took place in the body, in the pieces and somewhere inbetween.Where the inside and the outside toutch each other?What separates one body from the other?In direct confrontation with materials, with pigments, the visual-tactile perception was activated and, in this text, understood as a conceptual key of the artist' s body in the visual-art' s field.The conceptual approach was mainly driven by the Phenomenology of Perception by Maurice Merleau-Ponty, the Theory of Colors by Joahnn Wolfgang Goethe, the infra-mince discovered by Marcel Duchamp and the Body of the Artisan described by Pamela H. Smith.Besides the theoretical study, were analyzed some works and cultural manifestations: body painting of the rite of passage for boys in the nation Kadiwéu, the Antropometries of the Blue Períod by Yves Klein and the performance and installation Roda dos Prazeres of Lygia Pape.Still part of this dissertation, two interviews with artists that have the color and human attitude as artistic focus.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".