Bibliographic record
Abstract
1. Canada, Mexico, and the United States each appeals certain issues of law and legal interpretations developed in the Panel Reports, United States – Certain Country of Origin Labelling (COOL) Requirements (the “Panel Reports”). The Panel was established on 19 November 2009 to consider complaints by Canada and Mexico regarding certain US country of origin labelling (“COOL”) requirements for beef and pork. Both Canada and Mexico challenged the following measures: (a) the Agricultural Marketing Act of 1946, as amended by the “2002 Farm Bill” and the “2008 Farm Bill” (the “COOL statute”); (b) the Final Rule on Mandatory Country of Origin Labeling of Beef, Pork, Lamb, Chicken, Goat Meat, Perishable Agricultural Commodities, Peanuts, Pecans, Ginseng, and Macadamia Nuts (the “2009 Final Rule (AMS)”); (c) a letter dated 20 February 2009 from the US Secretary of Agriculture, Thomas J. Vilsack, to “Industry Representative[s]” (the “Vilsack letter”)9; and (d) the Interim Final Rule on Mandatory Country of Origin Labeling of Beef, Pork, Lamb, Chicken, Goat Meat, Perishable Agricultural Commodities, Peanuts, Pecans, Ginseng, and Macadamia Nuts (the “Interim Final Rule (AMS)”). 2. In addition to the above measures, Mexico also challenged the Interim Final Rule on Mandatory Country of Origin Labeling of Muscle Cuts of Beef (Including Veal), Lamb, Chicken, Goat, and Pork; Ground Beef, Ground Lamb, Ground Chicken, Ground Goat, and Ground Pork (the “Interim Final Rule (FSIS)”).
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.387 | 0.201 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".