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Record W7003927061

Tenderness II

2024· article· en· W7003927061 on OpenAlexaboutno aff

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2024
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionPaintingStyle (visual arts)LuckEndowmentThe arts
DOInot available

Abstract

fetched live from OpenAlex

Jorge Dans is a Cuban-Swiss multidisciplinary artist who works within several styles. He merges elements of several of the major art movements of the last century. Philosophically, his approach also gives renewed importance to draftsmanship, which has seen its value questioned in the era of digital art and Artificial Intelligence. Dans is currently most known for a Pop Art-influenced Hyperrealist style that places both bright color and focused line work front-and-center while also strongly engaging negative space.\nHe personally studied under, and was influenced by, several renowned Cuban artists of the late 20th century including Belkis Ayón, Choco, and Alfredo Sosabravo. He began exhibiting in Cuba in 1989 and in Switzerland in 2000. He has grown an international base of collectors in the U.S., Canada, Cuba, Switzerland, France, Germany, and Portugal. Among his collectors is singer Willy Chirino.\nThis piece is taken from his Color is Life series and was exhibited in the major exhibition Flora & Fauna in The Gallery at Creative Pinellas in Largo, sponsored by the National Endowment for the Arts and the State of Florida. Centered on showcasing intimacy within nature, works in the series feature Impressionist elements, such as Pointillism, to convey movement and energy within a framework of Pop Art that brings additional universality to his work while maintaining their intimacy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.245
Teacher spread0.218 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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