Bibliographic record
Abstract
The proposed Policy Bulletin (“the Bulletin”) would rewrite U.S. law and the international agreement, specifically the Subsidies and Countervailing Measures Agreement (“SCM”) of the World Trade Organization (“WTO”), which underlies the U.S. statute. Its adoption as legal authority would ignore final decisions of two different WTO panels. It would establish legal requirements for Canadian provinces that do not exist in the law and, because of its unique application to softwood lumber from Canada, would not apply to any other products from any other countries. It thus would also create a parallel legal regime to the law as otherwise written, while creating a precedent for the Department of Commerce (“the Department”) to use policy bulletins as a technique for unilaterally, and without Congress, rewriting the law and creating special bodies of law for specific products from specific countries. The Bulletin states in its “Summary ” that it is providing an “incentive for Canadian provinces to move to market-based systems of timber sales. ” This statement is an assumption, that Canadian provinces do not now operate market-based systems. This assumption is being contested before panels of the WTO and the North American
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 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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.248 | 0.136 |
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".