The COVID‐19 pandemic: Anticipating its effects on Canada's agricultural trade
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract With the deep recession now forecast for the world economy, trade can be expected to fall even more steeply. Agricultural trade will be less significantly affected, being insulated by its relatively low income elasticities of demand. However, a drop in the range of 12%–20% in real trade value should be expected. Canada can be expected to share in this, but, within agricultural exports, cereals will be least affected. This minimal expected impact to cereals stems partly from the risk of wheat export bans by Russia and Kazakhstan, due to increases in wheat prices. Livestock, pulses, and horticulture exporters can be expected to face a larger decline in trade prospects and revenues. An equally large threat, along with falling incomes in our trade partners, is their policy responses, particularly the potential increase in import restrictions. These may take the form of more costly inspections, tightened SPS and food safety regulations, and protectionist measures from competing domestic producers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it