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Record W3038008211 · doi:10.1186/s12302-020-00368-9

Transitioning to lead-free ammunition use in hunting: socio-economic and regulatory considerations for the European Union and other jurisdictions

2020· article· en· W3038008211 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironmental Sciences Europe · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAmmunitionEuropean unionLead (geology)Environmental protectionEnvironmental planningBusinessLegislationPolitical scienceEnvironmental scienceInternational tradeGeographyLawBiologyArchaeology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.247
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it