Media’s educational potential of russian-speaking emigrant media
Bibliographic record
Abstract
The article raises the question of the mechanisms forming the reader’s confidence in Russian-language print media in Europe and North America. To this end, we introduce the concept of the confidence level in the media text for three categories: sociopolitical, informational and cultural-educational publications. The materials of each category set different goals: information and propaganda, integration and advertising, entertainment and education, but all of them to varying degree contribute to the establishment of intercultural dialogue. Through the confidence of the reader, the Russian-language publication realizes its educational potential, contributes to or hinders the multilevel integration of immigrants into the new sociocultural environment. We conducted a study on the material of Russian-language newspapers in Canada, the UK and Germany, with a different media landscape depending on the specifics of local legislation. The English press is characterized by a careful attitude to the source of information: the vast majority of texts contain two or more sources, as well as confirmed statistics and comments by a media person. Emigrant media in Germany include informational and reference materials in their content that facilitate reader integration, but in most cases, they do not indicate a specific source of information. Canadian media mostly cover foreign and domestic political events and demonstrate a critical presentation of the material with the almost complete absence of informational sources which naturally raises doubts about the objectivity of the publications. The educational and cultural function in the Russian-language media of all regions is not sufficiently implemented.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".