Agriculture after a year with COVID‐19: Any long‐term implications for international trade policy?
Bibliographic record
Abstract
Abstract Coronavirus disease 2019 (COVID‐19) initiated shocks to the Canadian agri‐food industry moving the sector away from its prepandemic equilibrium. Disequilibrium can mean, postshock, that sectors follow different paths of adjustment. The public and politicians appear to desire that economic activity returns to prepandemic norms—but this is far from assured. In the case of the Canadian agri‐food industry, the postshock path of adjustment appears to be returning to the preshock equilibrium, or near to it. This provides a familiar and stable anchor for those whose lives are otherwise considerably disrupted by the pandemic. The multilateral international trade system has long been in need of reform—reforms that would benefit Canada's agri‐food exporting sector. The pandemic has raised trade issues that require urgent action and some countries see this as an opportunity for reform. Canada has been at the forefront of this activity through the fostering, hosting, and chairing of the Ottawa Group of 13 World Trade Organization members that have been charged with bringing forward proposals for reform that will break the log jam in multilateral negotiations. The work of the Ottawa Group is examined and the likelihood of the initiative succeeding assessed.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.031 | 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".