The Policy Analysis Matrix (PAM): Comparative Advantage of China’s Wheat Crop Production 2017
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
As the third-largest crop in China, wheat production plays an essential role in China's agricultural production, food processing and consumption structure. Besides, China is the world’s largest wheat producer and consumer, where it produces 14.83% of the world's total wheat production in 2017. So it is necessary to analyze and evaluate the government policy for wheat production in China using PAM. This research depends on the data has issued by the National Development and Reform Commission/China statistics press 2018 (National farm production cost-benefit survey 2017). The outcomes of this paper showed that the coefficients measures confirm there is government support for wheat production, that indicates, farmers are getting prices higher than global prices by the continuation of the current policy. While there was no comparable advantage has shown for Chinese wheat product in social prices due to the government intervention in the prices of production outputs. Where this policy representation indexes show that the policy for wheat production 2017 supported the farmers on the consumer cost.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it