Analyzing price transmission in agri‐food supply chains: an overview
Why this work is in the frame
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Bibliographic record
Abstract
Purpose The purpose of this study is to present a conceptual overview of the price transmissions within agri‐food supply chains. Analyzing price transmission in agri‐food supply chains is essential since imperfect price transition may result in market power. This is an important issue that needs attention, given that the structure of agri‐food retail in Europe, USA and Canada is experiencing rapid change towards retail power. Design/methodology/approach The conceptual overview draws on a review of different approaches in analyzing transmission of prices through an agri‐food supply chain based on supply chain analysis and price transmission studies. Findings Three key challenges are identified in analyzing price transmission in agri‐food supply chains: structure of the supply chain; factors affecting price transmission; and supply response. Originality/value This paper presents a novel concept in analyzing price transmission in agri‐food supply chains using price transmission literature and bi‐directional flows of information and products in agri‐food supply chains
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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