Study on Awareness about Food Adulteration and Consumer Rights among Consumers in Dhaka, Bangladesh
Bibliographic record
Abstract
Combating food adulteration is a great challenge in Bangladesh. The customer is the leading economic community and the focus of all commercial activities. The price, availability, variety, and attractiveness of consumer products have increased with the rise in people’s incomes. The business sector is practically bursting with complex technology-based new products. Regardless of misleading advertising, unsuitable media coverage, and food adulteration, it is challenging for the customer to select a particular foodstuff. The primary victim is a customer who casually takes adulterated food and pays the price of such corrupt practices. Bangladesh Government has enacted the Food Safety Act, 2013 to ensure food safety. But, consumer awareness is one of the most important steps towards reducing the adulteration of foods. Consumer faces different kinds of challenges to ensure food safety for them. To effectively face these challenges, consumers need to prepare themselves against these issues. In our present study, we have analyzed the different consumer behavior considering food adulteration and their awareness about consumer rights.
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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 | 0.004 | 0.000 |
| 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 | 0.000 |
| 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".