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Record W3162892875 · doi:10.1017/cbo9781139055345

Politicized Justice in Emerging Democracies

2012· book· en· W3162892875 on OpenAlex
Maria Popova

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 · 2012
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsEconomic JusticeCompetition (biology)PoliticsPower (physics)Political economyPolitical scienceUkrainianLawLaw and economicsSociology

Abstract

fetched live from OpenAlex

Why are independent courts rarely found in emerging democracies? This book moves beyond familiar obstacles, such as an inhospitable legal legacy and formal institutions that expose judges to political pressure. It proposes a strategic pressure theory, which claims that in emerging democracies, political competition eggs on rather than restrains power-hungry politicians. Incumbents who are losing their grip on power try to use the courts to hang on, which leads to the politicization of justice. The analysis uses four original datasets, containing 1,000 decisions by Russian and Ukrainian lower courts from 1998 to 2004. The main finding is that justice is politicized in both countries, but in the more competitive regime (Ukraine) incumbents leaned more forcefully on the courts and obtained more favorable rulings.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.036
GPT teacher head0.200
Teacher spread0.165 · 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