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The history of the formation of art education in Shanghai in the first quarter of the XX century

2023· article· en· W4387456702 on OpenAlexaboutno aff
wenwen hu

Bibliographic record

VenueКультура и искусство · 2023
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)TimelineThe artsMeiji periodSubject (documents)HistoryVisual artsSociologySocial scienceArtLibrary scienceAncient history

Abstract

fetched live from OpenAlex

The object of research of the article is the process of development of art education in the Chinese city of Shanghai at the beginning of the XX century. The subject of the study is the contribution of educational institutions to the cultural life of the city, whose activities were aimed at training masters in the field of fine arts. The purpose of the article was to identify a unique scenario for the development of art education in the Chinese metropolis, in the formation of which the creative traditions of not only the Celestial Empire, but also European countries, including Russia, were included. The article pays special attention to art societies, whose activities in the first quarter of the XX century were particularly active and focused both on the development of art education and the organizing of creative expositions. For the objectivity of the results obtained, unique documents were used in the study, including archival sources and retrospective literature, which determines the scientific novelty of the work. Shanghai in the first quarter of the XX century became a "pioneer" in the formation of the modern system of art education in the country. Under the influence of Western culture, the creative education of Shanghai has undergone profound transformations in a very short time, changing the artistic life of the country, bringing genre, thematic, technological into it.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.006
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

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
Published2023
Admission routes1
Has abstractyes

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