Evaluation of Lithuanian consumers’ attitudes to genetically modified food
Bibliographic record
Abstract
The aim of this investigation is to present the results obtained during the survey of Lithuanian consumers in order to identify their attitudes towards food with genetically modified organisms (GMO). Investigating the consumers approach to genetically modified (GM) food, the following were considered: consumers' opinions on GMO were analyzed, their knowledge about the presence of food containing GMO on the Lithuanian market, the mandatory GM food labelling, the behavior to a transgenic product while shopping, as well as consumers' willingness to purchase such products. Data were gathered through a survey of 1000 Lithuanian residents. The empirical results indicated that the majority of the respondents' attitudes towards food containing GMO are negative. The older consumers with less income are more against GM food compared to younger, wealthier households. 72% of consumers know that if the food contains GMO it must be indicated on the label. However, many consumers who oppose GMO do not try to avoid paying attention to the components of the product listed on its label. Only about a quarter of consumers while buying a product look for such information. This indicates that consumers are not really interested in whether or not the product contains GMO.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".