Український фестиваль в Торонто: засади збереження української культурної спадщини \n(Ukrainian Festival in Toronto: Principles of the Ukrainian Cultural Heritage Preservation)
Bibliographic record
Abstract
У тезах автором розглянуто один із найбільших вуличних фестивалів Північної Америки – Український фестиваль в Торонто, заснований в 1995 році з нагоди відзначення об’єднання міст Торонто і Києва під егідою Українського канадського конгресу. Сам фестиваль розглядається як важливий чинник збереження української культурної спадщини у Канаді. Викладений матеріал містить інформацію про організацію культурного заходу, процес його проведення, характеристику творчих колективів. З’ясовано значення фестивалю також як фактору репрезентації української культури в канадському суспільстві. \n(The author analyses one of the largest street festivals in North America – Toronto Ukrainian Festival, which was founded in 1995 to celebrate the unification of Toronto and Kyiv under the auspices of the Ukrainian Canadian Congress. The festival is considered as an important factor in the preservation of the Ukrainian heritage in Canada. The research contains the information about the organization of cultural events, about the process of the event’s realization and about the characteristics of creative groups. The author considers the festival as a representation factor of the Ukrainian culture in the Canadian society. )
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".