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Record W3167902690

Engaging a Huangniu: Commodification of State-Society Bargaining in China

2018· article· en· W3167902690 on OpenAlexaff
Lynette H. Ong

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCommodificationChinaState (computer science)AuthoritarianismConflict resolutionBusinessProfit (economics)Social conflictPublic relationsPolitical sciencePolitical economyMarket economyEconomicsLawDemocracyMicroeconomicsPolitics
DOInot available

Abstract

fetched live from OpenAlex

A strong authoritarian state such as China has a range of institutions and instruments at its disposal to resolve social conflicts. This study proposes a new mechanism—citizen's engagement of a profit-seeking intermediary—that helps to facilitate state-society bargaining, resolve conflicts and thereby absorb social contention. This form of state-society bargaining is conducted via professional brokers whose objective is to make a profit from the transactions. By establishing trust between the officials and citizen, the broker brings the two parties together, enables and facilitates state-society bargaining that would not have taken place otherwise. In so doing, the broker helps to resolve conflicts or protracted stand-offs that might have spilled into street protest. These profit-seekers represent commodification of state-society bargaining by matching demands from discontented citizens with supplies of special favours by state officials. This study contributes to the growing body of conflict resolution and state repression literature 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 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)0.004
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 integrity0.0000.001
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 head0.010
GPT teacher head0.279
Teacher spread0.269 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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