Natural Resources Defense Council Hearing on the U.S. Agricultural Sector Relief Act of 2012
Bibliographic record
Abstract
Protection of the ozone layer is a huge bi-partisan public health success story. The phase-out of ozone-destroying chemicals, including methyl bromide, is saving literally millions of Americans, and tens of millions of people around the world, from death and disease, from skin cancer, cataracts, and immune diseases. It is also saving farmers billions of dollars in UV-related crop losses. Now is not the time to tamper with the Montreal Protocol and the Clean Air Act. By slowing or even reversing the transition away from methyl bromide, “The U.S. Agricultural Sector Relief Act ” will lead to more skin cancers, more cataracts, more immunological disease. It will benefit strawberry growers and others who have profited by abusing the “critical use exemption ” for almost a decade. Thousands of other farmers growing other crops will suffer more UV-related crop losses as a result. Methyl bromide suppliers and users have dragged their feet on replacing this dangerous compound for two decades. No other industry has had more time and more leeway to transition from dangerous ozone-destroying chemicals. The United States is responsible for more than 90 percent of all methyl bromide exemptions. Every other strawberry- and tomato-growing country with California-like growing conditions – including
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.060 | 0.035 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
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".