Bibliographic record
Abstract
The Softwood Lumber dispute between Canada and the United States is one of the longest and most expensive trade disputes in history. However, the Softwood Lumber dispute has been, if not misunderstood, at least underappreciated. To date, the dispute has attracted attention because of the substantial economic interests involved, the complexity and length of the litigation, and the doctrinal implications of the various decisions rendered in domestic and international proceedings. This paper seeks to demonstrate that Softwood Lumber's central importance lies elsewhere; for trade scholars, Softwood Lumber is of interest because it exposes three of the central challenges facing the international trade regime: the potential displacement of an international regime by a spaghetti bowl of regional and bilateral treaties; the status of international trade norms in domestic courts; and the problem of selective and halting compliance by powerful states. But these challenges are, in turn, instantiations of three central challenges facing the field of public international law, namely the fragmentation of international law; the relationships among proliferating transnational courts; and the limits of (international) legalization. Thus, the systemic issues raised by Softwood Lumberprovide a tour d’horizon of debates central to contemporary international trade law and public international law.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".