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Record W4408378802 · doi:10.35998/oe-2025-023

Gegen Zensur und Krieg

2025· article· de· W4408378802 on OpenAlex
Ksenia Lučenko

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

Venueosteuropa · 2025
Typearticle
Languagede
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsFeminismPhilologyAnthropologyPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

Ever since Putin took office as president in 2000, independent media outlets have been under pressure. The dismantling of the television station NTV marked the starting point. Since then, more and more media have been criminalized, stigmatized as “foreign agents”, and closed down. Freedom of the press has been abolished. Since the full-scale attack on Ukraine, de facto censorship has prevailed in Russia. Around 1,500 journalists have left the country. Russian-language media continue their work in exile and also find an audience in Russia. One concern is their funding. It is becoming increasingly difficult to conduct research on the ground with the help of stringers and anonymous informants. Russia’s authorities have taken the Chinese path. They are trying to bring the Internet under their complete control. With the elimination of the Russian public sphere, the political and social importance of journalism in exile has grown: it has become a surrogate for the public sphere.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.002

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 head0.324
Teacher spread0.299 · 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