The Concerns about Choice Attributes and Behavior Intentions of Consumers toward Food Safety Restaurant
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
<p>Consumers have grown increasingly aware about food safety over the last decade. However, various lifestyles have been shown to influence and predict consumer behavior. The main objective of this study is to investigate different consumers’ attribute and intentions toward food safety in restaurant. This study uses a food-related lifestyle approach and cluster analysis to identify three consumer segments: the conservative, the adventurous and the health-conscious consumer. Health-conscious consumers turned out to have more positive attitudes toward healthy and natural foods than the other two segments. This consumer segment also showed the highest likeliness to pay more for restaurants with higher food-safety standards. On the other end of the spectrum, adventurous consumers primarily seek novelty. This group values convenience over health concerns. Among the above, health-conscious consumers should be the primary target groups for restaurant that advertise food safety.<strong></strong></p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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