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Record W1542812118

The United States' prohibition of horsemeat for human consumption: is this a good law?

2007· article· en· W1542812118 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

VenuePubMed · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsAgriculture Food and Rural Development
Fundersnot available
KeywordsConsumption (sociology)StatuteAnimal welfarePopulationWelfareNeglectValue (mathematics)BusinessPolitical scienceLawEnvironmental healthVeterinary medicineGeographyMedicineBiologySociology
DOInot available

Abstract

fetched live from OpenAlex

On May 24, 2007, the last slaughterhouse in the USA producing horsemeat for human consumption was closed by State statute (1). Recently there have been several state and federal regulatory initiatives in the USA intended to prevent the slaughter of horses for human consumption (2,3). On January 27, 2007, simultaneous bills were introduced in the Senate and the House to prohibit the slaughter of horses for human consumption and to ban the transport of live horses from the United States to countries where they could be slaughtered for human consumption (2). The American Veterinary Medical Association (AVMA) and the American Association of Equine Practitioners (AAEP) are pursuing defeat of these amendments to the Horse Protection Act (2,4,5). The veterinary concerns about the slaughter prohibition are motivated by the future welfare risk for horses that otherwise would be removed from the population by slaughter. Some authors have suggested that the horse slaughter industry functions to remove and, therefore, protect old (mean age 11.4 y) and unsound working and riding horses from neglect or abuse (6–9). Low value animals have previously been identified as being at increased risk for neglect (10). Economic modeling suggests a horse slaughter ban would be equivalent to the immediate loss in value of $300.00 per horse in the USA at a cost of $50 million annually (11).

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.242

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 studies0.0000.000
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 head0.047
GPT teacher head0.250
Teacher spread0.203 · 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