Killing Neck Snares Are Inhumane and Non-Selective, and Should Be Banned
Bibliographic record
Abstract
In North America, where fur trapping remains an active practice, killing neck snares continue to be used for capturing canids, particularly red fox (Vulpes vulpes), coyote (Canis latrans), and gray wolf (Canis lupus). However, over the last 50 years, scientific studies have consistently demonstrated that killing neck snares are inhumane—meaning that snared animals do not lose consciousness within five minutes and may remain alive for hours—and non-selective, often capturing a wide range of non-target wild and domestic animals. This non-selectivity can contribute to the local extirpation of certain species. The continued use of killing neck snares reflects a disregard for the welfare of wild mammals and poses risks to the sustainability of their populations. This persistence appears to be driven by misinformation, widespread myths, and inadequately implemented international trapping standards. These issues lead to critical questions about what must be performed to prohibit the use of these devices.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".