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Record W4255463919 · doi:10.1017/cbo9780511511226

Judging Russia

2008· book· en· W4255463919 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

VenueCambridge University Press eBooks · 2008
Typebook
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsPolitical scienceLegislatureState (computer science)LawAdministration (probate law)PoliticsReputationSeparation of powersFederalismLaw and economicsPublic administrationSociology

Abstract

fetched live from OpenAlex

This is a study of the actual role that the Russian Constitutional Court played in protecting fundamental rights and resolving legislative-executive struggles and federalism disputes in both Yeltsin's and Putin's Russia. Trochev argues that judicial empowerment is a non-linear process with unintended consequences and that courts that depend on their reputation flourish only if an effective and capable state is there to support them. This is because judges can rely only on the authoritativeness of their judgments, unlike politicians and bureaucrats, who have the material resources necessary to respond to judicial decisions. Drawing upon systematic analysis of all decisions of the Russian Court (published and unpublished) and previously unavailable materials on their (non-)implementation, and resting on a combination of the approaches from comparative politics, law, and public administration, this book shows how and why judges attempted to reform Russia's governance and fought to ensure compliance with their judgments.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.752
Threshold uncertainty score1.000

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 studies0.0020.002
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 head0.032
GPT teacher head0.228
Teacher spread0.196 · 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