“THE SONG OF UKRAINE” – THE MELODOUS VOICE OF THE NATIONAL COMMUNITY IN THE RADIO SPACE OF CANADA SINCE 1959
Bibliographic record
Abstract
On the example of a specific radio initiative of the Ukrainian community in the foreign-language media environment of North America, the role and significance of the living Ukrainian word spoken through space and years to a generation of Ukrainians for the community is understood. Since 1959, “Song of Ukraine” has been continuously addressing its loyal listeners in their native language, first from radio station “CKFH 1400” (at 19.00 – 19.30), then “CHWO” (at 16.30 – 18.00), and now “CJMR 1320” ( at 19.20т – 19.50). Thanks to direct communication with the author of the program, N. Popovych, as well as an analysis of archival periodicals, a historical chronology of the progress of the initiative in the national environment of Ukrainians in Canada was established, and tribute was paid to its founders, Prokop and Viktoria Naumchuk, who started the long-term program, breathed life into it and imbued it with Ukrainian spirit and success. to the common national cause of contemporaries. The thematic polyphony and stylistics of the musical block of the initiative were traced, the question of the importance of the Ukrainian language for listeners of different categories was updated: for the older audience as an irreplaceable source of news information about Ukraine, for younger listeners as a platform for updating knowledge and communication skills in the language of their ancestors, etc. The deep mission of Ukrainian-language initiatives in the matter of preserving one's own national identity and the acceptability of generations has been elaborated. The names of the producers of Ukrainian radio content in Canada in different years were introduced into the scientific media discourse, among them Z. Prusachenko-Zubovych, S. Lantuha, S. Novytskyi, A. Shelyak, V. Magdenko, T. Kosach, V. Boychuka, T. Horokhovych, N. Kutsi-Kovalchuk, V. Romanyuka, S. Bayusa, Z. Onyshchuk, U. Melnyk, I. Kravets, N. Soltys, O. Sydorchuk-Sokolyk, and others. The receptivity of the Ukrainian community to off-air events initiated or supported by the program and its initiators is characterized. Among them are the annual charity “Ukrainian Evenings”, periodic celebrations, concerts, musicals, dances, etc.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".