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Record W4415302600 · doi:10.5539/ach.v17n2p83

Brushstrokes of Revolution: Realism, Expressionism, and Romanticism in haipai Art

2025· article· W4415302600 on OpenAlexvenueno aff
Shuyan Gu

Bibliographic record

VenueAsian Culture and History · 2025
Typearticle
Language
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRomanticismIdeologyScrutinyPoliticsNegotiationKey (lock)

Abstract

fetched live from OpenAlex

This article explores how haipai artists in Shanghai responded to the pressures of the Cultural Revolution (1966–1976), negotiating the demands of state-mandated revolutionary themes while striving to maintain their distinctive artistic traditions. Under the intense scrutiny of political authorities, artists such as Fang Shicong, Chen Yifei, and Cai Jiangbai blended realism, expressionism, and romanticism to create works that promoted socialist ideology and collective heroism. By analysing key paintings—including Fang’s Encounter on the Road and Da Qing Oil Workers, as well as the collaborative Wedding on the Execution Ground: As Long as the Principle is True by Chen Yifei and Cai Jiangbai—this study reveals how composition, colour, and symbolism were employed to reinforce political messages yet subtly preserve the hallmarks of the haipai style. The article contends that, while haipai artists fulfilled the propagandist aims of the Cultural Revolution, they also succeeded in sustaining Shanghai’s cosmopolitan artistic legacy, producing works that were both ideologically charged and aesthetically refined.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.025
Scholarly communication0.0060.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.253
Teacher spread0.242 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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