Fish consumption and health in French Polynesia.
Bibliographic record
Abstract
French Polynesians, like other remote maritime populations are intimately connected to the ocean which nourishes their daily life and culture. Their reliance on fish raises the issue of potential exposure to harmful natural and anthropogenic contaminants as well as providing essential nutrients. The purpose of this study was to assess the risks and benefits of fish consumption in French Polynesia. This cross-sectional study included 195 adults aged 18 years old and over from the Tahiti and Moorea islands. Fatty acids, selenium (Se) and mercury (Hg) blood concentrations were measured in participants and were all very high. Blood concentrations indicate that Hg, Se and omega-3 fatty acids have a common origin, i.e. fish consumption. In comparing the Polynesian group with northern populations, we found that the Polynesian group had levels of Hg similar to those observed in Inuit populations (geometric mean (range): 90.3 (15-420) nmol/L vs. Inuit: m(r): 79.6 (4-560) nmol/L). Similar results were observed with Se blood concentrations. The fatty acid concentration was also similar to that of the Inuit population even though the specific profile of fatty acids differed. For the first time, we report very high blood concentrations of mercury, selenium and omega-3 fatty acids in a fishing population from the South Pacific, comparable to those reported among fishing populations from the Northern hemisphere. Further work is ongoing to better substantiate public health nutritional policies.
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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 | 0.000 | 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) | 0.002 | 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 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".