Competitiveness of Major Wheat Exporting Countries in the Korean Market
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The market share of U.S. wheat in Korea fell to 53% in 2002, primarily due to the weak competitiveness of U.S. wheat over Australian wheat in quality and price. In addition to upgrading the quality of wheat, maintaining consistent quality is also an important factor for market competitiveness. Australia and Canada offer consistent quality through various segregation systems based on quality specifications of wheat grains to satisfy the buyer's requirements. The Korean wheat flour milling industry would like to maintain the diversity of its import wheat markets. As consumer demand for better quality products grows, however, a higher and higher proportion of ASW wheat will be used for making noodles. Unless concerns over U.S. wheat quality are resolved in the near future, a decline in the market share of U.S. wheat in Korea seems to be inevitable.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it