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Record W6922417960 · doi:10.11586/2024029

PR steht für politische Repression

2024· article· de· W6922417960 on OpenAlexaff

Bibliographic record

VenueBertelsmann Stiftung · 2024
Typearticle
Languagede
FieldSocial Sciences
TopicPublic Administration and Political Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPoliticsPsychological repressionGovernment (linguistics)

Abstract

fetched live from OpenAlex

Dieser Bericht ist Teil des Transformationsindex BTI 2024. Die regionale Analyse deckt den Zeitraum zwischen dem 1. Februar 2021 bis 31. Januar 2023 ab. Der BTI untersucht Transformationsprozesse in Richtung Demokratie und Marktwirtschaft sowie die Qualität von Regierungsführung in 137 Ländern. Mehr Informationen unter https://www.bti-project.de

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)0.003
metaresearch head score (Gemma)0.009
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: Commentary · Consensus signal: none
Teacher disagreement score0.137
Threshold uncertainty score0.457

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.005
Scholarly communication0.0070.006
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1370.030

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 head0.038
GPT teacher head0.391
Teacher spread0.354 · 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
GenreCommentary

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

Citations0
Published2024
Admission routes1
Has abstractyes

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