Transitioning to lead-free ammunition use in hunting: socio-economic and regulatory considerations for the European Union and other jurisdictions
Bibliographic record
Abstract
Abstract Background Hunting throughout the European Union (EU) has left an accumulating legacy of spent lead ammunition that has deleterious toxic effects upon the environment, wildlife, and humans who consume hunted game meat. Non-toxic lead substitutes for both rifle and shotgun ammunition have been developed and are required in some EU jurisdictions. Within the EU, at least 28 companies make or distribute non-lead shotgun ammunition, and a further 14 companies distribute non-lead rifle ammunition. However, a broad transition to the use of these products has been resisted by the hunting and ammunition-making communities. Results and conclusions It is in the self-interest of these communities to recognize the consequences of externalizing the effects of spent lead ammunition to society, and to make hunting more sustainable and socially acceptable. The paper endorses the ongoing process under the European Commission (EC) to introduce wide and fundamental restrictions on the use, trade and possession of lead ammunition for all types of hunting within 3 years, and within 5 years for clay target shooting. This would align EC regulations on lead from ammunition with lead from other anthropogenic sources, and EC regulations that protect the natural environment, especially the conservation of wild birds. Simultaneous EC regulation of lead in marketed game meats would provide extra health protection and assure a safe source of game meat products for consumers.
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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 | 0.014 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.002 |
| 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".