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Seashells in Dutch Still-Life Painting of the 17th Century

2021· article· en· W3171263187 on OpenAlexaboutno aff
O.Yu. Kulakova

Bibliographic record

VenueArt & Culture Studies · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingStill lifeSculptureEmblemArtContext (archaeology)Quarter (Canadian coin)Period (music)Art historyVisual artsNaturalismHistoryAestheticsArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Dutch still-life is a distinctive cultural phenomenon of the 17th century. Collecting of rarities, curiosities, plants, paintings, sculptures and many other rare things was characteristic for that period. Seashells which were brought from the exotic countries attracted the attention and love of collectors and artists. J. Hoefnagel was one of the first who took an interest to seashells in the emblems. In the early Dutch flower still-life shells were found occasionally but from the beginning of the first quarter of the 17th century artists started to add these graceful creations almost into all compositions with flower bouquets and fruits. New type of still-life with seashells appeared abundantly in painting of Balthasar van der Ast, Jan Davidsz de Heеm, Abraham Beyeren, Willem Kalf and others. While the naturalism in still-life painting brought to the maximum, there was a problem of veracity in depicting shells in the engravings, for example, in Rembrandt’s work. This problem was eventually solved only in the second half of the 17th century, so engravings and zoological illustrations began to show the curl of the shells in its correct direction, exactly clockwise. This research poses problems of the appearance of shells as collectibles and Dutch still-life’ motifs, visual traditions and shells’ classification in the paintings. The article is relevant with interdisciplinary method; some mollusks zoological names with indication of their origin place are given; the cultural and historical context is generalized; the stylistic analysis takes into account the emblematics’ traditions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.482
Threshold uncertainty score0.135

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.041
GPT teacher head0.257
Teacher spread0.217 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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