«Both Dead and Alive…»: Prophetic Ideas of Taras Shevchenko In Antin Rudnytsky's channel «Poslanie»
Bibliographic record
Abstract
Ukrainian emigration culture is an exciting and understudied page of diaspora research. Almost three decades after a long life, the names of its prominent figures are actively returning to the history of our culture, in particular Antina Rudnytsky - the primary representative of the urban elite of the American diaspora. The life-giving work of washing covered the period three-quarters of the twentieth century. He was a talented composer, pianist, conductor, music, and public figure who lived half of his life in USA (1937-1975). Still, He remained a conscious Ukrainian, a patriot who, even in exile, carried out activities related to Ukraine, its history, and modernity. In the 1950s and 1960s, the composer redoubled his decision to develop the Ukrainian diaspora's public life actively. In 1957, Antin Rudnytsky willingly responded to the request of the community and the Taras Shevchenko Scientific Society to write a symphonic cantata on the words of the immortal Shevchenko's Message ("To both the dead and the living ...") on the centenary of Taras Shevchenko's death. The cantata "Poslanie" played an essential role in uniting the Ukrainian national forces in the United States and Europe, Australia, and Canada. This proved that the state of Ukraine and faith in them would never fade in the hearts and souls of the Ukrainian people, both in the diaspora and in mainland Ukraine.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.001 | 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".