Zen-Noh’s Initiatives and Issues for Stable Procurement of Grains & Oilseeds, etc. from Overseas
Bibliographic record
Abstract
This report reviews the initiatives made by Zen-Noh (National Federation of Agricultural Co-operative Associations) in its efforts to ensure stable procurement of Grains, Oilseeds and Fertilizers from overseas, and discusses future challenges. The 1970s was a time when grain and oilseeds were used as political weapons, as world demand expanded dramatically, while droughts and conflicts broke out in various regions, and the U.S. government imposed embargoes. Zen-Noh established Zen-Noh Grain Corporation in 1979 and acquired CGB Enterprises Inc. in 1988 to build up its own supply chain between the US and Japan. Since 2000, some structural changes have occurred in the global grain and oilseed markets. Zen-Noh have been tackling those changes by strengthening its procurement and export capacity expansion in the US, as well as investing into the supply chains in Brazil and Canada.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".