Socio-economic Characteristics and Perception of the Lettuce Consumer
Bibliographic record
Abstract
Lettuce is the most consumed leaf vegetable in the world. Knowing the preferences and opinions of consumers of this important vegetable species can not only make the future availability of a better-quality product possible, but also redefine marketing methods and production in the field. The aim of this study was to evaluate the perception of lettuce consumers based on their socio-economic characteristics. Interviews with consumers were carried out to gather the information. The data found with the research showed that socio-economic characteristics such as gender, schooling, age and income do not significantly influence the perception of the lettuce consumer. The conclusion was therefore, that consumers make up a homogeneous group with similar behaviour patterns, characterising a market that is not very complex and is easily understood and accessed by producers, where there are no niches to be explored nor the need to differentiate the product to meet the needs of specific groups (men and women, young and old, people with more or less education or income).
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".