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Record W4387064977 · doi:10.1080/02666286.2023.2195888

Chinese Millets: native soil, the party–state, and art in contemporary China

2023· article· en· W4387064977 on OpenAlexfundno aff
Yi Gu

Bibliographic record

VenueWord & Image · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChinaNationalismState (computer science)CommunismPeasantAestheticsArtForegroundingHistoryLiteraturePolitical scienceLawArchaeologyPolitics

Abstract

fetched live from OpenAlex

Ever since Jean-François Millet (1814–75) was introduced to China in the 1920s through translations, Chinese artists’ fascination with him has resulted more from his life story than from the poor reproductions of his artworks. Millet’s focus on the imagery of the peasantry and his purported identification with the peasant made him a unique figure in the rise of a discourse on native soil, which conflates peasants, the land, the Communist revolution, and a distinctive Chineseness in art. This discourse first took form during the War of Resistance against Japan (1937–45) and continues to thrive in China today. This article examines the growing list of artists—from the well-known masters Gu Yuan (1919–96) and Luo Zhongli (1948–) to lesser-known artists whose professional work was supported by state painting academies and teaching institutions—who have been named the “Chinese Millets.” I propose that “Millet” continues to be effective as a trope in the discussion and imagination of art in China today because his life story provides multiple thrusts—the rapport with peasants, the simplicity and nobility of an artist’s character, an unflinching insistence on one’s own style in opposition to more fashionable trends—in support of a vague conviction of the vitalist force of the native soil. This simultaneously eases Chinese artists’ anxiety over their distinction in the international contemporary art world and echoes the civilizational nationalism increasingly promoted by the party state. Foregrounding the persistent phenomenon of likening to Millet in art discourse in China, this study reveals the challenges and dilemmas of an art world that simultaneously strives to rise in the global order and manages to work with an authoritarian state that both promises generous patronage and demands cooperation.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.024
GPT teacher head0.306
Teacher spread0.282 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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