THE EFFECT OF LOST EXPORTS ON U.S. BEEF PRICES
Bibliographic record
Abstract
Since the discovery of Bovine Spongiform Encephalopathy (BSE) in the United States in December 2003, U.S. beef exports have declined approximately 85 percent. A number of countries, including Japan and Korea (the top export markets for U.S. beef), have banned imports of beef from the United States, while U.S. exports to other important markets, such as Mexico and Canada, have been well below previous levels. Domestic demand in the United States was not significantly affected by the BSE discovery, but the effect of decreased beef exports on U.S. price is significant. This study examines the effect of exports and other supply and demand factors on U.S. meat prices, and estimates the effect of the drop in exports on U.S. beef and cattle prices. Results indicate that if all other factors remain the same, the drop in exports results in a $0.22 per pound reduction in retail beef prices and a $0.04 per pound reduction in the slaughter steer price. Prices in 2004 remained relatively high, however, possibly due to a decline in U.S. production and strong domestic demand.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".