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Record W1779415873 · doi:10.4000/pipss.1533

Trial by Jury in Russian Military Courts

2008· article· en· W1779415873 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

VenueThe Journal of power institutions in post-soviet societies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsSocial Sciences and Humanities Research CouncilWilfrid Laurier University
Fundersnot available
KeywordsJuryChechenLawImpartialityMilitary justicePolitical scienceIndependence (probability theory)Jury trialEconomic JusticeCriminologySociology

Abstract

fetched live from OpenAlex

One of peculiar features of the military criminal justice system in Russia is that in some cases military defendants may apply for trial by jury. Unlike the existing U.S. court-martial jury and the Russian military jury of the early 1900s (World War I period) which were comprised of the members of the armed forces, in modern Russia jurors trying military defendants are civilians. This article aims to provide a brief history of military jury in Russia and identify issues of independence and impartiality in Russian military courts with participation of lay decision-makers. In particular, the article will analyze two high-profile cases which resulted in acquittals of Russian officers accused of killing several Chechen civilians during counter-terrorist operations in Chechnya.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.054
GPT teacher head0.365
Teacher spread0.311 · 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