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Record W2087764830 · doi:10.1080/13510347.2013.779255

Citizenship, social rights and judicial review in regime transition: the case of Russia

2013· article· en· W2087764830 on OpenAlexaff
Andrea Chandler

Bibliographic record

VenueDemocratization · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsLawSupreme courtSocial rightsAppealPolitical sciencePoliticsAuthoritarianismState (computer science)PetitionerCitizenshipSociologyDemocracy

Abstract

fetched live from OpenAlex

During a regime transition, are citizens more likely to appeal to the courts to protect their rights, or less likely? The study examines 107 decisions of the Constitutional Court and Supreme Court on social welfare, passed between 1991 and 2010. As the political system became more authoritarian under President Vladimir Putin, citizen petitions to the Supreme and Constitutional Courts greatly increased, reflecting discontent with the content and implementation of social welfare reforms. Furthermore, citizen petitioners won a surprisingly large number of their cases. The analysis reveals the Constitutional Court to be a strong defender of social rights overall, while establishing an implicit hierarchy of groups entitled to special protection. Its rulings posited that the state has an obligation not just to uphold its current social contract, but to honour the previous social contract for people who spent their productive lives under a different political regime.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.281
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations8
Published2013
Admission routes1
Has abstractyes

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