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Record W3154607103 · doi:10.1163/25427466-00502001

With or Without You: Qing, Li, Fa, and Legal Pluralism in China

2021· article· en· W3154607103 on OpenAlexaff
Qian Liu

Bibliographic record

VenueChina Law and Society Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsLegal pluralismLegal realismChinaPluralism (philosophy)ScholarshipEmpirical legal studiesPolitical scienceLegal professionLawLegal formalismSociologyComparative lawPrivate lawEpistemologyBlack letter law

Abstract

fetched live from OpenAlex

Abstract The concept of legal pluralism was introduced to China in the mid-1990s to address the conflict between state law and local norms and customs. More than two decades after its introduction, the scope of legal pluralism in China has shifted to the coexistence and interaction between state law and nonstate orders. In this article, I review theoretical discussions and empirical studies on legal pluralism in China. The existing studies on legal pluralism focus mostly on rural villages, which marginalizes the lived experience of urban residents who are also caught in China’s rapid legal transplantation in recent decades. At the same time, law and society scholars who study labor dispute resolution in urban China tend to frame the questions as legal mobilization, rather than legal pluralism. The term qingli 情理[commonsense feelings of justice] is a common theme underlying the scholarship of legal pluralism and legal mobilization in China, and thus it has the potential to bring them together and bridge the findings of the two bodies of scholarship. This article contributes to the literature on Chinese law and society by demonstrating the role that qingli plays in bridging different areas of sociolegal studies.

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: none
Teacher disagreement score0.948
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.282
Teacher spread0.271 · 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

Citations13
Published2021
Admission routes1
Has abstractyes

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