The Canada-United States softwood lumber dispute: A look at the state of certain economic and political indicators and their relationship to the outcome of disputes.
Bibliographic record
Abstract
The interests of Canadian softwood lumber exporters were best served when Commerce found no subsidies in the first countervailing duty case (CVD 1). This is the case, given that Canadian softwood producers were not subject to any restrictions, taxes or duties. With countervailing duty 2 (CVD 2), Canada and the U.S. negotiated a Memorandum of Understanding (MOU) which resulted in a 15% export tax on Canadian softwood lumber exports. Certainly, this was less advantageous to Canadian softwood producers than the outcome of CVD 1. In theory, the relative ad/disadvantageousness of countervailing duty 3 (CVD 3) was on par with that of CVD 2. That is, Canadian lumber was subject to conditional access to the U.S. market. Given that countervailing duty 4 (CVD 4) is ongoing, it is impossible to compare the outcome in terms of relative benefit to Canadian softwood exporters. This analysis discerns how the conditions at the launch of CVD 1 differed from those when each of the other disputes was launched. One fixed set of indicators is used to analyze how certain political and economic indicators relate to the outcome of disputes: Market Share, State of U.S. Economy. Uncertainty in Trade Negotiations/Other Bilateral Sectors of Trade and Level of Protectionist Sentiment in U.S. The analysis has shown that, contrary to the initial hypothesis, the indicators do not necessarily contribute a logical explanation for predicting the outcome of disputes.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".