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Record W53883352

Juan Fernández el Labrador, Miguel de Pret y la "construcción" de la naturaleza muerta

2013· article· es· W53883352 on OpenAlex
Laura Alba Carcelén, Ángel Aterido Fernández

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBoletín del Museo del Prado · 2013
Typearticle
Languagees
FieldArts and Humanities
TopicHistorical Art and Architecture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtCartographyGeography
DOInot available

Abstract

fetched live from OpenAlex

espanolEntre marzo y junio de 2013 el Museo del Prado albergo una exposicion monografica dedicada a uno de los bodegonistas espanoles mas enigmaticos del siglo XVII, Juan Fernandez, llamado el Labrador. Con motivo de la muestra se procedio al estudio tecnico de todas las obras expuestas, aprovechando la circunstancia de haber reunido un importante numero de obras de diferentes procedencias. El presente articulo recoge los resultados obtenidos y las conclusiones a las que se ha llegado tras la investigacion. Con ello, se abre una nueva via para el debate del genero del bodegon en el siglo XVII y se perfila la figura de dos artistas de enorme interes en este contexto: Juan Fernandez el Labrador y el practicamente desconocido Miguel de Pret. EnglishIn 2013 (March-June) the Museo del Prado held a monographic exhibition dedicated to one of the most enigmatic Spanish still-life painters of the seventeenth century, Juan Fernandez el Labrador. Afterwards all the paintings exhibited in the show were technically examined. This article presents the results of these studies and the conclusions reached after the research. It opens new perspectives on seventeenth-century still-life paintings based on new information on two important artists: Juan Fernamdez el Labrador and the up until now practically unknown Miguel de Pret.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.233
Teacher spread0.226 · 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