Советско-канадские отношения и имидж СССР в Канаде в 1964-1985 гг
Bibliographic record
Abstract
In the article the complex research of the evolution of the USSR»s image in Canada under Leonid Brezhnev, Yuri Andropov and Konstantin Chernenko against the background of Soviet Canadian relations was conducted for the first time in Russian historiography. The authors make attempt to identify the characteristics of political and economic image of the USSR, as well as the image of Soviet culture and sport that existed in Canadian public opinion. The primary sources used for the research include the whole range of the following materials: the results of opinion polls conducted by Gallup Inc. in Canada that were never brought to scientific research before, lots of text and graphic data from libraries and archives of Canada original pages of federal and regional press, photos, newspaper caricatures. Also, memoirs were of great importance as a valuable primary source for the research. The nature of the tasks set in the paper determined the use of interdisciplinary approach to the study of the phenomenon of a country image that allows investigating the problem comprehensively and using the methods of other academic disciplines along with the traditional methods of history.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".