Evaluation of the public’s knowledge, attitude, and practice on seafood contaminants
Bibliographic record
Abstract

 Background: The public perceives seafood generally as a healthy food. Studies have shown that consumption of fish is associated with healthy heart function. However, the benefits of consuming seafood may also come with some risks, which may not be well-known by the public. Seafood can potentially contain contaminants that originate from the natural environment or pollutants from human activity. The contaminants of interest that were focused on in this study include lead, mercury, organophosphates, and domoic acid. Methods: The study utilized a KAP (Knowledge, Attitude, and Practice) survey to evaluate the knowledge, attitude, and practices regarding these contaminants between the general public and those working in the seafood industry. Nominal data was analyzed by the chi-square test while numerical data was analyzed by the t-test. Results: The data obtained did not show a statistically significant difference between the general public and the seafood industry (p-values greater than significance level of 0.05 on all parameters) in their knowledge, attitude, and practice regarding seafood contaminants. Conclusion: There was no difference between the general public and the seafood industry in their knowledge, attitude, and practice regarding seafood contaminants. Although the attitude data was not significant, the effects of some chemical contaminants (organophosphates and domoic acid) were generally incorrectly perceived by both groups unlike biological contaminants. Additional research will be required, but results from this study show that educational intervention by the government or health authorities may be needed.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".