Портретна галерея освітніх і наукових діячів в часописі «Нові дні»(Portrait Gallery of Academic and Scholarly Activists in Periodical New Days)
Bibliographic record
Abstract
У тезах представлено дослідження одного із діаспорних періодичних видань. У центрі увазі – відомий канадський часопис «Нові дні» – універсальний ілюстрований щомісячник, що виходить у Торонто з 1950 р. Серед величезної кількості опублікованих на його сторінках матеріалів чимало статей присвячено низці освітніх та наукових діячів, що внесли вагомий вклад до розвитку української культури як на батьківщині, так і за океаном. Розглянуто значення цих статей як важливого джерела до вивчення історії закордонного українства, їх роль у збереженні пам’яті про видатних діячів та підтримці національної самоідентифікації в середовищі українських громад Канади, США. (The article deals with the research devoted to one of the diaspora’s periodicals. The researcher’s attention is focused on the Canadian periodical New Days that is an illustrated monthly edition which has been published in Toronto since 1950. Among the enormous number of materials published on the pages of the periodical there are many articles on the activity of educational and scholarly figures who made a significant contribution into the development of the Ukraine culture both in Ukraine and abroad. This research considers New Days’ articles as an important source to study the history of the Ukrainians abroad. The author analyses the rrole of the periodical in preserving the memory of outstanding activists and in supporting national self-identification process inside the Ukrainian communities of Canada and the USA.)
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.008 |
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".