Fish Consumption Advisory Programs: Opportunities and Challenges for the Protection of Human Health in Canada and the United States
Bibliographic record
Abstract
Fish consumption advisories provide valuable information on the protection of human health from contaminated fish consumption, yet are rarely conducted comprehensively nor communicated widely. Environmental policies that fail to adequately develop and implement fish consumption advisory programs are largely to blame. This policy analysis delves into the strengths and weaknesses of current fish consumption advisory programs in the United States and Canada. To compare between these countries, fish consumption advisory programs were broadly described across all 50 US states and 13 Canadian provinces/territories. Two case studies were chosen to provide a more detailed look into the complexities of fish consumption advisory programs (Arizona and Nova Scotia). It is apparent from this research that fish consumption advisory programs and policies do not comprehensively address human health and environmental justice concerns in either country suggesting policy changes are necessary. Opportunities for and barriers to regulatory change in both countries were identified, and suggestions on sharing strong policies were provided. Finally, international frameworks aimed at improving fish consumption advisory programs were explored, mainly those used by the European Union. Environmental justice and human health concerns will only increase given changing environments and emerging toxicological issues; therefore, increased focus on fish consumption advisory programs is warranted. This focus should consider policy change in particular because it can codify human health and environmental justice protections upon which stronger fish consumption advisory programs can be built.
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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 | 0.001 |
| 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".