United States - Final Dumping Determination on Softwood Lumber from Canada, and United States - Final Dumping Determination on Softwood Lumber from Canada: Recourse to Article 21.5 of the DSU by Canada
Bibliographic record
Abstract
This paper addresses the issues that came before the Appellate Body in the Softwood V dispute, concerning an affirmative antidumping determination by the U.S. Department of Commerce. The paper addresses both the original Appellate Body opinion in the dispute, and the later opinion reviewing the compliance panel findings. We focus primarily on the “zeroing” issue in “transaction-to-transaction” calculations of dumping, and briefly on two other cost-allocation issues. In general, we are ambivalent about the Appellate Body’s approach to the zeroing issue. On the one hand, zeroing inflates dumping margins without any sound economic rationale for doing so. On the other hand, zeroing has been a standard administrative practice for many years and the ADA does not clearly prohibit it. The Appellate Body’s legal analysis of the matter in T-T cases, in particular, rests on shaky premises. We also consider the wisdom of addressing the zeroing issue in piecemeal fashion through what has proven to be a lengthy sequence of narrow decisions.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".