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Images of «educated children» in the Russian children’s portrait of the second quarter of the XIX century

2020· article· en· W3135377623 on OpenAlexaboutno aff
Darina A. Abdullina

Bibliographic record

VenueVestnik of Saint Petersburg State University of Culture · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPortraitQuarter (Canadian coin)PaintingVirtuePeriod (music)RomanceMetropolitan areaSociologyGender studiesHistoryLiteratureArtArt historyAestheticsPhilosophyTheology

Abstract

fetched live from OpenAlex

In the field of Russian portraiture in the second quarter of the 19th century, a new «type» of children’s portrait images emerged, which the author conventionally calls «exemplary children». According to him, young models were portrayed as educational models for both the portrayed themselves and their peers and potential descendants. This «type» was formed at the junction of romantic ideas about the virtue of childhood, Christian ideals and, at the same time, growing realistic trends in art. It became widespread among both metropolitan and provincial portrait painters, which testifies to its compliance with the tastes and needs of the public of that time. The article examines portraits of children from the Tomilov families by A. G. Varnek and Kapnist, made by E. F. Krendovsky. They were created at the beginning and end of the specified time period, respectively, which allows tracing the development of the «type» in dynamics. Particular attention is paid to the ways in which the portraitists combined the images of real boys and girls, shown in the natural setting of home activities, with a complex spiritual and moral content. The latter was achieved through the use of the universal language of Christian symbolism, bold comparison of images of children with images of Christ, the Mother of God, angels and saints.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.160
Teacher spread0.154 · 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 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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