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Record W2051011997 · doi:10.1080/1060586x.2014.922336

Tools of persuasion: the efforts of the Council of Europe and the European Court of Human Rights to reform the Russian pre-trial detention system

2014· article· en· W2051011997 on OpenAlexaff
Lindsay Parrott

Bibliographic record

VenuePost-Soviet Affairs · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHuman rightsLawPolitical sciencePrisonDamagesConventionGovernment (linguistics)PersuasionRight to a fair trialFair trialPsychology

Abstract

fetched live from OpenAlex

This paper examines the tools available to the Council of Europe and the European Court of Human Rights (ECHR) for promoting Russian compliance with the European Convention on Human Rights regarding pre-trial detention conditions. As cases regarding the poor treatment of prisoners in Russian pre-trial detention centers continue to burden the ECHR, the Court has begun implementing alternative methods of curbing what it views as a systemic problem within the Russian prison system. Mechanisms considered include the awarding of financial damages, which has thus far been difficult to enforce, as well as the newly adopted mechanism of the pilot judgment procedure. The pilot judgment procedure presents a strong tool for the ECHR in gaining compliance from the Russian government and affecting reform within the pre-trial detention system, as long as the ECHR treats Russia as an equal partner.

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)0.137
metaresearch head score (Gemma)0.183
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.137
Threshold uncertainty score0.724

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1370.183
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.002
Science and technology studies0.0070.036
Scholarly communication0.0200.014
Open science0.0030.012
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.031
GPT teacher head0.263
Teacher spread0.232 · 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 designNot applicable
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

Citations10
Published2014
Admission routes1
Has abstractyes

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