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Record W2758015950 · doi:10.15232/pas.2017-01620

Review: Transportation of commercial finished cattle and animal welfare considerations

2017· article· en· W2758015950 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Professional Animal Scientist · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Supply Chain Traceability
Canadian institutionsnot available
Fundersnot available
KeywordsStressorAnimal welfareMicroclimateDuration (music)WelfareBusinessQuality (philosophy)Environmental resource managementEnvironmental healthNatural resource economicsEnvironmental planningEnvironmental scienceEcologyPsychologyMedicineEconomicsBiology

Abstract

fetched live from OpenAlex

The purpose of the following report was to review and present the literature focused on the topic of current industry practices of land transport of finished cattle, primarily within the United States and Canada. This review was broken down into 5 areas: (1) microclimate, (2) loading density, (3) duration of transport, (4) quality of transport, and (5) animal behavior. All of these factors play a role in animal welfare and have been shown to influence post-transport animal health and carcass quality. Certain stressors such as loading density and duration are more understood than others and are easier to manipulate, whereas other stressors, such as microclimate and human factors, require more research to fully understand the magnitude and interactions of the stressors and how to address them. Improving the overall transport process ensures the safety and well-being of the animal and the quality of the carcass, providing both an ethical and economic benefit.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.297
Teacher spread0.264 · 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