A Study on Creating Agriculture International Brands by Industrialization: The Case of “Guanxi Pomelo” in China
Bibliographic record
Abstract
Since the 21st century, brand has become one of the most important competitive factors in the agricultural trade area. Under the precious chance of “One Belt And One Road”, to strengthen brand building will be promising in trade promotion and the competition of Chinese agricultural products. In the case of “Guanxi Pomelo”, this paper concentrates on the strategy study of the building of international agricultural brand in China. Proceeding from the present situation of brand building of “Guanxi Pomelo in Pinghe”, the article analyzes what industrialization problems constraint its brand building. Besides, the factors influencing the building of “Guanxi Pomelo” are assessed through Analytic Hierarchy Process. And accordingly several necessary measures are put forward specifically, in order to provide the reference and advice for the building of international agricultural product brand in China, including developing agricultural industrialization management, strengthening technological innovation, strengthening the brand maintenance and publicity, and emphasizing the role of government and industry associations to guide development. Ultimately, wish some useful methods could be done to promote China's agricultural products to create international brands and improve the competitiveness of Chinese agricultural products by means of the analysis.
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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 | 0.000 | 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 | 0.001 |
| 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".