“OUR CULTURE” MAGAZINE: HISTORY OF ESTABLISHMENT, TOPICS, INFORMATIONAL CONTENT
Bibliographic record
Abstract
The paper examines the “Our Culture” magazine which was edited and published by Ivan Ohiienko (Metropolitan Ilarion) in Canada (1951–1953). The outstanding Ukrainian figure left a huge creative heritage. His works were forbidden and most of them still remain little-known among researchers and readers. Periodical editions have a leading place among the sources of the history of Ukraine and present many forms of information about various events. The diaspora press was an important source of studying Ukrainians lives outside of Ukraine. The Canadian-Ukrainian magazine "Our culture" was the information center for the settlers from different regions. The most part of Ivan Ohiienko’s creative heritage is not well-studied. The main attention of the article is concentrated on the history of foundation the periodical "Our Culture". The author of the paper analyzes the information content of the magazine and examines the issues of the publication, the main task of which was to serve Ukrainians in emigration, their culture, which has the ability to unite national forces and society, to make a contribution to the formation of national identity.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".