Canada and Putin's Russia: A Canadian View with a Commentary from Moscow
Bibliographic record
Abstract
This lecture is about Vladimir Putin's Russia and the policy of its Western partners, in particular of Canada. This year marks the one hundredth anniversary of official relations between our countries when the tsar's envoy Nicolas Struve arrived in Montreal in 1900 to set up the first Russian consulate in Canada. Russia today remains a nuclear power, permanent member of the UN Security council, rich in human capital and natural resources. Canada and its Western partners have politically and financially supported Russia’s transformation ever since Mikhail Gorbachov began the process in earnest. Since then, the challenge facing Boris Yeltsin’s successor has been sharpened by the high social cost of initial reforms and the evolving international context. Vladimir Putin has publicly committed to stay the course of democratic development. Canada wishes to build on what has been achieved so far and play its part in helping Russia stay the course.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".