Dialogue of cultures of Canada and Russia: Days of Culture of Canada 2021
Bibliographic record
Abstract
From June 23 to July 17, 2021, the Days of Culture of Canada were held in Moscow, organized by the All-Russian State Library of Foreign Literature named after M. I. Rudomino, the Embassy of Canada in the Russian Federation and the Russian-Canadian Center "Moscow-Quebec" RSUH. The purpose of this large-scale cultural event, timed to coincide with three state Canadian holidays: the Day of the Indigenous Peoples of Canada (June 21), Quebec Day (June 24) and the National Day of Canada (July 1), was to introduce the Russian public to various aspects of Canadian culture Lectures by Canadian and Russian researchers, meetings with authors, master classes, exhibitions, and displays of works of musical and visual culture were held in a mixed format. During the presentations, the historical and geographical features of individual Canadian regions and provinces were covered in detail: Quebec, Manitoba, Saskatchewan, the Rocky Mountains, the Arctic. Most of the events were broadcast on the portal "Culture. RU". There is no doubt that during the Days of Culture of Canada, the Russian public was enriched with knowledge about literature, history, geography, ethnography, languages, philosophy, visual art of this region of the planet, which in turn will contribute to the expansion of Russian-Canadian cooperation in the field of science, education and culture.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.045 | 0.013 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".