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Record W2611440330 · doi:10.1093/ilar/ilw037

Comparison of the Canadian and US Laws, Regulations, Policies, and Systems of Oversight for Animals in Research

2017· article· en· W2611440330 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueILAR Journal · 2017
Typearticle
Languageen
FieldVeterinary
TopicAnimal testing and alternatives
Canadian institutionsCanadian Council on Animal Care
Fundersnot available
KeywordsLegislationAnimal welfareGovernment (linguistics)Political sciencePublic administrationLawBusiness

Abstract

fetched live from OpenAlex

The Canadian and United States' approaches to oversight of animals in research are both based on the "3Rs" principles outlined in Russell and Burch's classic text, The Principles of Humane Experimental Technique. Each country seeks to protect the welfare of animals, while permitting the legitimate goals of scientific research to be attained according to the legal principles, cultures, and strengths and constraints of their jurisprudential and societal traditions. Canada is one of the most decentralized federations in the world, and regulation of activities is based to a great extent on custom and practice. The United States is more hierarchical and, at least with respect to laws governing animal research, more centralized. Accordingly, the Canadian approach is rooted in the concepts of social contracts, with a greater emphasis on guidance and policy and less reliance on legislation. No federal (national) direct legislation of laboratory animal welfare exists, although the federal government uses its criminal and spending authorities to shape behavior. The central feature of the Canadian system is the Canadian Council on Animal Care, which was formed to support universities and government departments involved in animal-based science. Animal care committees play a central role in implementing the guidelines and policies in facilities that carry out animal research. The United States has enacted two federal (national) laws applicable to animals in research. The Animal Welfare Act is a more traditional, command-and-control law that gives authority to the US Department of Agriculture to promulgate regulations, inspect facilities, and enforce violations. The Health Research Extension Act, which amended the US Public Health Services (PHS) Act, applies to any activity conducted or supported by the PHS, including research efforts supported by the US National Institutes of Health. It is largely nonregulatory and establishes a system of assurances and policies that covered research facilities must follow. States play only a minor role in animal research protection. As in Canada, institutional animal care and use committees are tasked with self-regulation of activities that use animals for research.

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 score0.032
Threshold uncertainty score0.985

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 studies0.0010.000
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 head0.541
GPT teacher head0.537
Teacher spread0.004 · 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