Structural Analysis of the Food System of Imported Rapeseed
Bibliographic record
Abstract
This study examines four key aspects of stable oilseed procurement, providing insights into the overall structure of the rapeseed food system imported from Canada to Japan. Firstly, we present an overview of the current situation and challenges associated with the procurement of imported rapeseed in Japan. Secondly, we clarify the vertical coordination system, shedding light on potential future access to rapeseed export channels from Canada. Thirdly, we analyze the decision-making process for determining optimal quantities of imported rapeseed and explore alternative options. Lastly, we examine power imbalances within the vertical stages of the rapeseed food system from an equity perspective. The study concludes with policy implications as follows: (1) Under a trading structure with price mechanism functions, it is necessary to create an environment in which the Japanese vegetable oil industry can pass on high raw material prices to consumers to ensure competitive and stable raw material procurement; (2) It is essential to establish stable and close political relationships between countries; (3) When considering alternative oil and fat products, confirming Japanese consumer evaluations is necessary; and (4) Since the expansion of biodiesel production in various countries could be detrimental to Japan's food security, its merits and demerits must be evaluated.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".