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Record W4412698538 · doi:10.3390/ani15152220

Killing Neck Snares Are Inhumane and Non-Selective, and Should Be Banned

2025· review· en· W4412698538 on OpenAlexaff
Gilbert Proulx

Bibliographic record

VenueAnimals · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsEmissions Reduction Alberta
Fundersnot available
KeywordsCanisVulpesZoologyGeographyPredationEcologyBiology

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.780
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.041
GPT teacher head0.302
Teacher spread0.261 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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