A Spatial Equilibrium Analysis of U.S.–Canadian Disputes on the World Softwood Lumber Market
Bibliographic record
Abstract
This paper utilizes a world spatial equilibrium model to examine the effects of U.S.–Canadian softwood lumber disputes on U.S., Canadian, and other exporters' and importers' lumber markets. Results show that the U.S. import tariff on Canadian softwood lumber impacts prices, supply, demand and trade flows not only in the United States and Canada but also in the other countries. Though the goal of U.S. trade restriction is to limit imports from Canada and protect its producers, the United States cannot fully accomplish this goal as non‐Canadian exporters fill the void left by the reduced imports from Canada. Canadian producers lose from the U.S. policy, but their loss is mitigated as Canada redirects its exports to other importers. Importing countries such as Japan and the European Union benefit from the U.S. trade restrictions as Canada seeks to sell its softwood lumber to these countries.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 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 teacher head, 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".