DISCREDIT OF FORMER PARTICIPANTS OF THE ANTI-SOVIET RESISTANCE MOVEMENT IN CANADA: KGB AGAINST DMYTRO KUPIAK
Bibliographic record
Abstract
The article, based on declassified documents of the former KGB under the Council of Ministers of the Ukrainian SSR, was analyzed by a campaign to discredit certain members of the Ukrainian community in Canada. For example, a member of the OUN Security Service Dmytro Kupiak, who after the World War II crossed the ocean, was taken.Since 1960 the KGB has launched a propaganda campaign, the essence of which was the allegations of former members of the anti-Soviet resistance movement in war crimes (immigrants from Ukraine and Baltic States). The KGB has named as Nazi war criminals some Ukrainian leaders and spent disinformation campaign against Ukrainian community. The use of soviet evidence (documents captured by the Soviets from Nazi Germany, testimony or soviet publications) presents legal problems. Without much concern for the convincing evidence, the Soviet regime sought to discredit the accused in the first place and sow distrust on them by the Canadian authorities. For this purpose, off-court trials were organized, special editions were published, and frankly commissioned materials were pushed into the Canadian press. The Soviet agents tried to convince Canadian authorities of the disloyalty of Ukrainians to their own experience. Soviet propaganda has a certain successes because Canadian media were a target of the KGB disinformation. By its actions the KGB has made some disorganization in the ranks of Ukrainian-Canadian organizations.As a conclusion, we can state that despite all the Canadian authorities focused on the imperfections of Soviet evidence and repeatedly rejected demands for the extradition of the accused. The indirect consequence of discrediting was often the popularization of the activities of Ukrainian emigration in Canada, which attracted the attention of the world community to the communist repressive system and violated the national and civil rights in Ukrainian SSR.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.060 | 0.019 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.012 | 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".