FARM LEVEL IMPACT OF ADOPTING MULTIPLE COMPONENT PRICING IN THE APPALACHIAN FMMO AND EVALUATING THE USMCA CANADIAN CREAM TRQ: A GSIM APPROACH
Bibliographic record
Abstract
This thesis is composed of two essays regarding the dairy industry of North America. The first essay aims to evaluate the adoption of an MCP pricing system in the Appalachian FMMO. Producers in Georgia, Kentucky, Tennessee, and North Carolina have formally voiced concern about adopting MCP due to concerns over reduced milk value. Using cow-level production data from Kentucky, the effect on farm level prices can be estimated. It is determined Jersey cow herd’s milk value under MCP appreciates 9% in Kentucky, while the impact on Holstein herds is dependent on many factors. The second essay evaluates the potential impact of the expanded tariff rate quota for cream in Canada from the implementation of the United States-Mexico-Canada trade agreement. Utilizing a global simulation model for trade using Armington elasticities, the impact of this expanded access can be estimated for both American and Canadian consumers and producers. Canadian imports of American cream are estimated to increase 316% over the first year of the USMCA. This paper includes a review of Canada’s dairy industry and trade relations as relating to the dairy industry.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".