Bibliographic record
Abstract
Professor M. Zhytaryuk’s review is about a book scientific novelty – a monograph by Professor M. Tymoshyk «Ukrainian journalism in the diaspora: Great Britain. Monograph. K.: Our culture and science, 2020. 500 p. – il., Them. pok., resume English, German, Polish.». Well-known scientist and journalism critic, Professor M. S. Tymoshyk, wrote a thorough work, which, in terms of content, is a combination of a monograph, a textbook and a scientific essay. This book can be useful for both students and practicing journalists or anyone interested in the history of the Ukrainian diaspora, Ukrainian journalism and Ukrainian culture. The author dedicated his work to Stepan Yarmus from Winnipeg, Canada – archpriest, journalist, editor, professor. As the epigraph to the book were taken the words of Ivan Bagryany: «Our press, born under the sword of Damocles of repatriation», not only survived and survived to this day, but also showed a brilliant ability to grow and develop. It was shown that beggars that had come to the West without money at heart can and know how to act so organized. It was also an example of how a modern «enbolshevist» and «denationalized» by the occupier man person is capable of a combined mass action».
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".