MétaCan
Menu
Back to cohort

Dilucidando el lenguaje visual de la Tabla de Venus del Códice de Dresde: un enfoque semiótico.

2020· article· es· W3042634051 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEstudios de Cultura Maya · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicLiterary and Cultural Studies
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsVenusSemioticsPaintingInterpretation (philosophy)Visual languageVisual semioticsArtHumanitiesArt historyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

The visual language of the paintings has undergone a theoretical and pragmatic process, which is different than that of textual linguistics. In this paper we propose a method of analysis based on semiotics to elucidate and compare the visual response of six paintings of the pre-Columbian Maya Dresden Codex. The Venus table was chosen because it presents a calendrical-astronomical message through a visual language that makes its interpretation complex. We consider that the visual semiotics of the Quebec School represented by Saint-Martin and Shannon´s entropic comparison of the Venus table paintings may be applied to both classical and contemporary pictorial works to support the work of art historians.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.316
Teacher spread0.303 · 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