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Authoritarian legality and informal practices: Judges, lawyers and the state in Russia and China

2010· article· en· W2050187962 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunist and Post-Communist Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAuthoritarianismPrinciple of legalityDilemmaChinaContext (archaeology)State (computer science)Political sciencePolitical economyOrder (exchange)Economic systemLawSociologyPoliticsDemocracyBusinessEconomics

Abstract

fetched live from OpenAlex

To participate in the global economy authoritarian states are pressed to offer international business a legal order that protects the interests of investors, customers, and sellers, but the creation of a modern legal order threatens to undermine the leaders’ control of public life. An increasingly common way to resolve this dilemma, I argue, is developing formal legal institutions that appear to meet world standards, while using informal practices to maintain control over the administration of justice when needed. In this paper I show how the governments of post-Soviet Russia (with its hybrid or competitive authoritarian regime) and the fully authoritarian People’s Republic of China as well, have used this approach in their relations with judges and defense lawyers in their respective countries. The analysis underscores the utility of investigating informal practices along with the reform of formal legal institutions, especially in the context of transition.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.010
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.034
GPT teacher head0.339
Teacher spread0.305 · 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