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Record W2619669325 · doi:10.7202/1039835ar

Law and Art in China : Domination and Resistance

2017· article· en· W2619669325 on OpenAlexaffvenue
Pitman B. Potter

Bibliographic record

VenueLes Cahiers de droit · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChinaChinese lawResistance (ecology)Private lawExpression (computer science)LawFunction (biology)Identity (music)Law and economicsPolitical scienceScope (computer science)Public lawSociologyAestheticsArtComputer science

Abstract

fetched live from OpenAlex

The relationship between law and art in contemporary China reveals tensions between dynamics of domination and resistance. On the one hand, law plays a control function in the recognition and protection of private and public property, and in the enforcement of regime interests in controlling expression. By delineating the terms and processes for protecting ownership and conservation of art, China’s legal regime formalizes the scope and boundaries — the very identity — of the art being protected. Law’s domination is also evident in its function to restrict artistic expression. Law in China has long been used to prevent and punish artistic expression with which the ruling regime disagrees. Juxtaposed to the formal domination by law over identity and content, is art’s potential to offer critical insight on China’s legal system. Through this dynamic of resistance, art in China offers perspectives through which to interrogate particular elements of the PRC legal system. This paper will examine these dimensions of art and law in China.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.093
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0090.031
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.002
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 head0.006
GPT teacher head0.249
Teacher spread0.243 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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