Trade and conflict: trends in economic nationalism, unilateralism and protectionism
Bibliographic record
Abstract
Protectionists have been accused of unraveling the multilateralist world order. The United States pulling out of the Trans-Pacific Partnership Agreement, the renegotiation of the North American Free Trade Agreement, and a series of tariffs imposed by both the US and China threaten global economic integration. Fierce protectionist rhetoric risks gridlocking a fragile trade system that faces rising discontent, especially in light of the recent globalization backlash. American geopolitical hostilities are also influencing trade policies, notably punitive tariff and trade sanctions. Meanwhile, these fears are not limited to trade. The ongoing challenge to American hegemony and rising globalization backlash are dangerous signals of economic unpredictability that could perilously escalate towards outright conflict. This special issue tackles these trends of rising economic nationalism, unilateralism and protectionism to shed light on these vital foreign policy issues and what they mean for middle powers such as Canada.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.015 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".