The Softwood Lumber War: Politics, Economics and the Long U.S.-Canada Trade Dispute
Bibliographic record
Abstract
The endowment of natural resources, the size of the domestic market and major historical experiences shaping politics and the governance structure in a country often influence the type of domestic programmes and trade policies pursued in that country. Inadequate desire to understand and appreciate differences in economic environments, institutional development and policy perspectives can lead to irritating and often costly trade disputes among otherwise very friendly countries. The softwood lumber dispute between the United States and Canada represents one such dispute. It is the longest running dispute between these two countries. Despite a series of negotiated short-term agreements since 1986, the disputing parties failed to resolve it. The agreements, therefore, appear to be short-term fixes rather than any long-term solution. The most recent agreement signed in September 2006 is set to manage softwood lumber trade for next 5–7 years. If past events are reasonable predictors of the future, the dispute may flare up again by 2011. Given the longevity of this dispute and its travel through many twists and turns, several dozens of journal articles have been published focusing on various aspects of this dispute. While many features of the softwood lumber dispute are well documented in the literature, they are scattered over many journals. This book gives interested readers an opportunity, for the first time, to be informed about this infamous trade dispute, the real players in this dispute and many of its economic and policy consequences from one source. Therefore, it is a very welcome edition to the existing literature on the US–Canada softwood lumber dispute.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.009 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".