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Record W1592768569

Jury Trials for Violent Hate Crimes in Russia: Is Russian Justice Only for Ethnic Russians

2011· article· en· W1592768569 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

VenueChicago-Kent law review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsVerdictJurySection (typography)LawPolitical scienceHung juryEconomic JusticeSupreme courtJury selectionLegislationCriminologySociologyAdvertisingBusiness
DOInot available

Abstract

fetched live from OpenAlex

The article examines issues of potential anti-victim jury bias in hate crime trials of skinheads in Russia. The study is based on the analysis of court transcripts and interviews with judges, prosecutors, defense attorneys, and victims' lawyers who participated in four high profile criminal cases. The cases selected for analysis resulted in scandalous acquittals, which raised many questions within the Russian society as to whether lay citizens can and should adjudicate hate crimes committed against members of ethnic and racial minority groups. The results of the study have revealed that the juries in these cases did not demonstrate any bias against ethnic and racial minority victims. On the contrary, it can be suggested that after hearing evidence presented to them, juries were left with a reasonable doubt regarding the guilt of the accused.

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)0.009
metaresearch head score (Gemma)0.004
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: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.375
GPT teacher head0.480
Teacher spread0.104 · 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