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Record W1684604750

Swine veterinarians are a vital resource for minimizing the incidence of stressed pigs during transport.

2014· article· en· W1684604750 on OpenAlexaffabout
Gord Doonan, G. Bénard, Nicole Cormier

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsCanadian Food Inspection Agency
Fundersnot available
KeywordsMedicineBusinessVeterinary medicine
DOInot available

Abstract

fetched live from OpenAlex

The swine industry faces difficult challenges in satisfying increasing consumer and retail sector demands while remaining competitive. The collective and coordinated efforts of veterinarians, scientists, and the entire hog value chain are needed to make this succeed. One area of particular concern is the need to reduce the incidence of stressed pigs during transport. Canada’s federal Health of Animals Regulations and Meat Inspection Regulations contain provisions for the protection of animals from undue suffering and injury during loading, transportation, and unloading, and while animals are at federally registered slaughter plants (1,2). In 2005 the Health of Animals Regulations were amended to clarify that non-ambulatory animals cannot be transported without undue suffering during the expected journey, except for veterinary treatment or diagnosis (3). Shortly thereafter, Canadian Food Inspection Agency (CFIA) veterinarians and inspectors began to raise concerns about stressed market pigs that are reluctant or refuse to move during or just after unloading at the slaughter plant, even though they are capable of standing. Pigs with no obvious injury, trauma, or disease that refuse to move, walk, or keep up with their contemporaries have been defined as fatigued pigs (4). They are in a state of metabolic acidosis with high blood lactate, low blood pH, and low bicarbonate values (5). These pigs exhibit any combination of increased body temperature, difficulty breathing, trembling, patchy skin discoloration, reluctance to move, recumbency, and in some cases death. Canadian Food Inspection Agency inspectors have observed that a number of pigs on the same trailer may arrive showing these signs or may become extremely distressed during or shortly after unloading. These extremely fatigued pigs are referred to as stressed pigs. The incidence is highest during hot weather. While action is taken at the slaughter plant to minimize animal suffering during and after unloading, improved on-farm preventive measures are needed. Although porcine stress syndrome is a known cause of this condition, it has been shown to occur in pigs that do not carry mutations in the porcine ryanodine receptor-1 (“halothane sensitivity”) gene (6,7). Other contributing factors at the farm may include nutrition and feed additives, feed withdrawal (8), health status, heavy market weights (9), facility design and mixing or pre-sorting (7,10,11), loading procedures and facilities (6,12–14), and high environmental temperatures and/or relative humidity (15). Combined stressors are likely to have a cumulative effect (6). The arrival of stressed pigs at Canadian slaughter plants is a growing concern with respect to animal welfare and humane transportation, in addition to the economic impact resulting from decreased carcass value or carcass loss and disposal costs. National data on the incidence of stressed pigs arriving at slaughter plants are not available. The annual percentage of pigs found dead on arrival at Canadian slaughter plants from 2003 to 2012 ranged from 0.07% to 0.08% (16). This equates to more than 14 000 pigs each year that are dead on arrival or that die shortly after unloading. Measures to prevent mortality may also help to reduce the incidence of stressed pigs on arrival at the slaughter plant.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score0.139

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.181
Teacher spread0.164 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2014
Admission routes2
Has abstractyes

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