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Corpo cor: entre o visual e o tátil

2012· dissertation· pt· W2272228694 on OpenAlexaff
Fabíola de Almeida Salles Mariano

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicUrban and sociocultural dynamics
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPaintingArtPoetryPhenomenology (philosophy)PerceptionVisual artsAestheticsHueArt historyHumanitiesPsychologyPhilosophyLiteratureArtificial intelligenceComputer scienceEpistemology

Abstract

fetched live from OpenAlex

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 Kadiwu, the Antropometries of the Blue Perod 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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.215
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.004

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.

Opus teacher head0.027
GPT teacher head0.328
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations0
Published2012
Admission routes1
Has abstractyes

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