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Record W4387378727 · doi:10.1016/j.animal.2023.101002

Review: Towards truly stall-free pork production?

2023· review· en· W4387378727 on OpenAlexaff
K.J. Plush, R.J.E. Hewitt, D.N. D’Souza, R. J. van Barneveld

Bibliographic record

Venueanimal · 2023
Typereview
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsSuncor Energy (Canada)
FundersAustralasian Pig Science Association
KeywordsStall (fluid mechanics)Production (economics)EngineeringEconomics

Abstract

fetched live from OpenAlex

The individual housing of sows and boars within stalls is still frequent in commercial pork production, especially when the risk for impaired reproduction or welfare is high. Whilst many countries have either removed stall housing in gestation or are working towards this through the successful adoption of group housing, stalls are still used around weaning and mating and in farrowing crates for sows. In this review, we describe the stages in which stall use still occurs and why this is so, with the aim of determining whether stall-free pork production can realistically be achieved through successful industry adoption. Group housing during the period around weaning, oestrus and mating will present several issues such as sow aggression, riding and mounting. This will result in injuries and reduced reproductive performance for the animals, and an unsafe work environment for stock people if not adequately addressed. The second, most obvious stage of the reproductive cycle where stalls are used and removal would result in substantial detriment is in the farrowing crate, where associated high preweaning mortalities still plague both experimental and commercial outcomes. The use of temporary confinement has received renewed interest recently to reduce this mortality, but still involves the strategic use of a stall when piglets are at greatest risk of crushing. To transition towards complete removal of stalls around farrowing, we suggest that space allowance, in combination with animal and staff experience, are areas of opportunity. If the concerns identified during these two final reproductive stages can be addressed to limit poor animal welfare and productivity impacts, the use of stalls could be completely removed from pork production.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.272
GPT teacher head0.461
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2023
Admission routes1
Has abstractyes

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