MétaCan
Menu
Back to cohort
Record W3084587196 · doi:10.31205/ua.238.02

Das Trugbild vom Durchbruch zum Rechtsstaat: Justizreform nach der Revolution der Würde

2020· article· de· W3084587196 on OpenAlexaff
Maria Popova, Mykhailo Zhernakov

Bibliographic record

Venuenot available
Typearticle
Languagede
FieldSocial Sciences
TopicEducation, Law, and Society
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Seit dem Amtsantritt von Präsident Wolodymyr Selenskyj vor einem Jahr wird dessen Amtsvorgänger Petro Poroschenko einer ganzen Reihe gravierender Verbrechen verdächtigt.Während die institutionellen Kapazitäten zur Untersuchung der immer komplexer werdenden Korruption in den oberen Etagen immer noch gering sind, erscheinen die zentralen Anschuldigungen gegen Poroschenko, nämlich Hochverrat, Amtsmissbrauch und Korruption, schlecht begründet zu sein.Sie lassen befürchten, dass es sich hier um politisch motivierte Strafverfolgung handeln könnte.Angesichts der gescheiterten Justizreform und einer fehlenden Vision von unabhängiger Justiz besteht in der Gesellschaft ein starker Wunsch nach Gerechtigkeit.Die Strategie der amtierenden Regierung scheint sich daher auf leicht und schnell zu erzielende Resultate zu konzentrieren.Das wiederum bedeutet, dass eine umfassende und nachhaltige Justizreform hintenangestellt wird.Dies könnte das Vertrauen der Gesellschaft in die ukrainische Rechtsstaatlichkeit noch weiter schrumpfen lassen.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.030
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0100.005
Open science0.0010.006
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0130.001

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 head0.047
GPT teacher head0.344
Teacher spread0.296 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicEducation, Law, and SocietyFrench-language works237,207