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Record W4402472920 · doi:10.1556/062.2024.00271

Guanxi as Métis in the Legal Cases of Jin Ping Mei

2024· article· en· W4402472920 on OpenAlexaboutno aff
Ruihui Han

Bibliographic record

VenueActa Orientalia · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsGuanxiPing (video games)HistoryPolitical scienceLawComputer scienceChinaComputer security

Abstract

fetched live from OpenAlex

Jin Ping Mei 金瓶梅 details the legal activities in Ming society with exceptional vividness. In other pre modern Chinese literary narratives, the ending usually featured poetic justice. However, Jin Ping Mei is a novel with unique realism in Chinese fiction in that it does not have a happy ending. More importantly, the novel depicts the normal condition and rationale of life based on guanxi 关系, an informal institution that was ubiquitous in Chinese society. Guanxi is a concrete embodiment of métis in the novel. This article sets out to demonstrate the métis in Jin Ping Mei through the analysis of guanxi in two cases. It argues that Jin Ping Mei depicts guanxi as the rationale of legal activities. Through guanxi , which is achieved through the manipulation of li 禮, ganqing 感情, renqing 人情, and mianzi 面子, gifts, banquets, and intermediaries, the culprits can easily find their way out of the unfavorable condition. The blend of rationality and emotion which is embodied in guanxi is the cultural root of the manipulation in the legal activities. The narrative of legal activities in Jin Ping Mei focuses on the métis based on guanxi in microlevel society and thus achieves unprecedented realism in premodern Chinese fiction narrative.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.030
GPT teacher head0.331
Teacher spread0.301 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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