President Biden's international trade agenda: Implications for the Canadian agrifood sector
Bibliographic record
Abstract
Abstract The 4 years of the Trump administration was marked by a number of events and policies that affected the Canadian agrifood sector. Changes to preferential trade agreements, the collapse of the World Trade Organization's dispute settlement framework, increased domestic support for US farmers, and diplomatic tensions between the United States and China all shaped international trade flows and created an environment of policy uncertainty. The Biden administration will change course on several important trade policy issues. We discuss how these changes could affect the Canadian agrifood sector along a number of dimensions, including a return to multilateralism, (re)engagement in preferential trade agreements, and movements toward a less combative and more predictable trade policy agenda. We expect Canadian agrifood trade flows under the Biden administration to exceed what they would have been under a second Trump administration.
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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 | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.020 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.018 | 0.009 |
| Insufficient payload (model declined to judge) | 0.016 | 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".