The influences of quality attributes and socio-demographics on Chinese consumers' general and online consumptions of Canadian, US and Australian lobsters
Bibliographic record
Abstract
Purpose This study explores the influence of quality attributes and socio-demographics on Chinese consumers' general and online consumption of three origin-specific lobsters: Canadian, United States and Australian. Design/methodology/approach A web-based survey was administrated to 981 consumers from two cities in China: Shanghai and Qingdao. Descriptive analysis and binary logistic regression were used in the data analysis. Findings Chinese consumers were more willing to pay for the lobster quality attributes vitality, meat content, texture, size and safety. Their general and online consumption of three origin-specific lobsters is significantly linked to the following quality attributes and socio-demographics: meat content, size, shell hardness, texture, safety, nutrition, age, income, education, occupation, residential place and marital status. Originality/value This is the first study to explore the influence of quality attributes and socio-demographics on consumers' online consumption of luxury seafood.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".