Can Canada protect itself from American democratic decline?
Bibliographic record
Abstract
Around the world, democracies are on the back foot. For years, experts, commentators, politicians, and other practitioners and observers have discussed a global democratic recession. Several countries are of interest as case studies in decline, but the United States stands out. As an established democracy and global hegemon, the retreat of American democracy - always flawed, but increasingly so of late - threatens the world, and particularly its continental neighbours, including Canada.While Canada cannot be fully independent in a globalized world, particularly as we share a border with the United States, we must consider ways of preserving, indeed expanding, our democracy. But that might be difficult if our largest trading and security partner falls apart. With that concern in mind, we ask: Can Canada protect itself from American democratic decline?On this episode of Open to Debate, David Moscrop talks with Rob Goodman, assistant professor of politics and public administration at Toronto Metropolitan University and author of the new book Not Here: Why American Democracy is Eroding and How Canada Can Protect Itself.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.208 | 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; both teacher heads agree on what is shown here.
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".