The influence of African swine fever information on consumers’ preference of pork attributes and pork purchase
Bibliographic record
Abstract
Abstract This paper uses a randomized survey instrument to study the impact of African Swine Fever (ASF) information on Chinese consumers’ preference for pork attributes and purchases during the recent peak of the ASF pandemic in 2019. We study consumers’ preference for pork attributes including brand, meat texture and taste, quality safety assurance, and traceability under different information treatments. Results show that the willingness to pay (WTP) for quality safety assurance is the highest, followed by brands and traceability systems, and the WTP is lowest for good taste. We show that providing detailed ASF information substantially changes consumer preference by altering the relative importance of pork attributes and price sensitivity, which enables consumers to focus more on safety‐related attributes while paying less attention to price and taste attributes. Furthermore, we find that a higher belief in the future of ASF occurrence reduces the frequency of purchases marginally but does not significantly influence for amount per purchase and the total purchase amount.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".