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Record W4232595498 · doi:10.1017/cbo9781139104227

Transitional Justice in Post-Communist Romania

2012· book· en· W4232595498 on OpenAlexaff
Lavinia Stan

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsTransitional justiceCommunismDemocratizationPolitical scienceEconomic JusticeRomanianLawState (computer science)RestitutionCommissionCommunist stateDemocracyPolitics

Abstract

fetched live from OpenAlex

A close examination of an understudied European Union member state such as Romania reveals that, since 1989, post-Communist state and non-state actors have adopted a wide range of methods, processes and practices of working through the Communist past. Both the timing and the sequencing of these transitional justice methods prove to be significant in determining the efficacy of addressing and redressing the crimes of 1945 to 1989. In addition, there is evidence that some of these methods have directly facilitated the democratization process, while the absence of other methods has undermined the rule of law. This is the first volume to overview the complex Romanian transitional justice effort by accessing secret archives and investigating court trials of former Communist perpetrators, lustration, compensation and rehabilitation, property restitution, the truth commission, the rewriting of history books, and unofficial truth projects.

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 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 score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.227
Teacher spread0.203 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations36
Published2012
Admission routes1
Has abstractyes

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