Bibliographic record
Abstract
Doctor of theology, father-professor Ivan Muzychka. As for him, and many scholars, writers, artists, and clerics who liked him in exile, many of them, talented and faithful to Ukraine, have not long been "only" aware that they are in the overwhelming majority of them, like "Ukrainian bourgeois nationalists ", is supposedly the worst enemies of his people. However, the first meetings and conversations with them completely disperse these versions of the communist era. There is an aversion to what was written and those who wrote the desire to return our people to the spiritual treasures of these, I will say figuratively, of the cranes, the key of which has long been not returned to selflessly and passionately loved by them Ukraine. I, the author of the article, has already returned to Ukraine Orthodox Canadian Father of the Faith Stepan Yarmush, Greek Catholic theologian from the USA Volodymyr Oleksyuk, Greek Catholic historian of the Church of Australia, Ivan Shevtsev. The latter has even devoted even six hundred tens of monographs "Ivan Shevtsev - a biography of a Ukrainian-Christian." On the turn, the editors of selected works of the already fundamentalist historian Ivan Ortinsky from Germany.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.009 |
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".