Risk communication and perceptions about lead ammunition and Inuit health in Nunavik, Canada
Bibliographic record
Abstract
Lead ammunition is commonly used to hunt waterfowl and other wildlife in the Arctic. Hunting with lead is problematic because the toxicant can be transferred to the consumer. Therefore, it is critical to evaluate perceptions and awareness of the risks associated with using lead ammunition among Arctic populations. Results of the Nunavik Child Development Study (a longitudinal health study gathering information on health and well-being among Inuit in Nunavik, Canada) included advice to eliminate the use of lead ammunition in hunting practices. We surveyed 112 Nunavik residents (93 women; 18 men) about their awareness of lead related messages, use of lead ammunition and risk perceptions about contaminants. Sixty-seven participants (59.8%) reported there was an active hunter in their household. We found that only 27% of participants had heard or seen the messages about reducing lead ammunition. After participants viewed the Nunavik Child Development Study messages about lead, 44% stated they would stop using lead ammunition. However, 28% indicated that they would continue using lead ammunition. We conclude that, while messages had an overall positive effect, further study is required to understand why people continue to use lead ammunition.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".