Price Transmission Among the Participants of the Livestock Products Agrofood Chain in Ukraine
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
The article, by the example of livestock products, estimates and analyses the mechanism of price transfer (transmission) among the participants of the agrofood chain (agricultural producers, food processing and trading companies) and discovers abnormalities, imbalances and mismatches of the economic relations development among the stated participants. Straight-line regression with application of least-squares method was built, as well as three linear trend models that allowed to forecast the trends for price change at each administrative and technical stage of the product distribution (production, processing, trade). Quantitative evaluation was held for the price change of the livestock product market, and the time needed for the change. The obtained data confirmed the market “weakness” of agricultural goods producers denying the industrial safety guarantee of the country as a whole.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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