Market Advisory Service Recommendations and Wheat Producers' Selling Decisions
Bibliographic record
Abstract
This study uses actual producer transaction data to determine how Oklahoma wheat producers' selling decisions compare to recommendations from market advisory services and market incentives as reflected in futures spreads. Results show that producers responded to expected returns to storage as measured by futures spreads. Also, Oklahoma producers make marketing decisions that are either unrelated or the opposite of recommendations from market advisory services. La présente étude a utilisé des données de transactions réelles pour comparer les décisions de vente des producteurs de blé de l'Oklahoma avec les recommandations faites par des services consultatifs et les stimulants du marché tels que reflétés dans les écarts. Les résultats ont montré que les producteurs ont réagi aux rendements attendus de l'entreposage tels que mesurés par les écarts. De plus, les décisions commerciales des producteurs de l'Oklahoma sont soit indépendantes des recommandations des services conseils, soit totalement contraires à ces recommandations.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".