50 Years of the December Americanist Conferences in Moscow: History and Prospects of the American Culture Studies
Bibliographic record
Abstract
Based on the experience of the organizers of the December Americanist conferences in Moscow and its long-term participants, the article outlines the history of the academic forum for over fifty years (1975–2025). Three stages are distinguished: Soviet period, Perestroika, and the contemporary 21st century period. The programs and materials from the past fifty conferences clearly show the pivotal factors that facilitated or complicated research at every stage: the continuity of studies in Moscow, Leningrad, Kyiv, Tbilisi, Tashkent during the Soviet period; the emergence of new regional centers of American studies (Kazan, Chita, Tomsk) and new conference sections; the appearance of bilingual publications; the beginning of international contacts during the Perestroika; the completion of the academic History of USA Literature (in 6 vols); the challenges of the contemporary period characterized by growing tensions in Russian-American relations. A special attention is paid to the imagological round table “The Image of Russia and the Image of America: Mutual Influence,” which has been held since the early 1990s and now bears the name of its founder, Yassen Zassoursky. The main line of development is marked by an expansion of the research field from a purely philological focus to cultural studies approach, encompassing the ethnic and gender aspects of American and Canadian 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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".