Zen-Noh’s Initiatives and Issues for Stable Procurement of Grains & Oilseeds, etc. from Overseas
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 | 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 it