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Record W3007430147 · doi:10.22175/mmb.9498

Poultry Welfare: Future Directions and Challenges?

2020· article· en· W3007430147 on OpenAlex
K. Schwean-Lardner, Eugenia Herwig

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

VenueMeat and Muscle Biology · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsWelfareUnintended consequencesBusinessAnimal welfareQuality (philosophy)Consumer welfarePublic economicsMarketingEconomicsNatural resource economicsMarket economyPolitical scienceEcologyBiology

Abstract

fetched live from OpenAlex

The emphasis on poultry welfare has changed dramatically over the past 2 to 3 decades, and as a result, the quality of life of broilers, laying hens, and turkeys has improved. However, some changes may come with unintended consequences. This paper is meant to review two such areas—one in which the direction of the consumer push for a specific change is not completely supported by the scientific literature, and the second in which environmental and economic factors may suffer as a result of the changes. Such areas of change may arise in industry challenges in the future. Perhaps using a balanced approach when considering factors where bird welfare and environmental costs collide—in conjunction with allowing consumers choice over the products they purchase—could offer the industry a more sustainable direction for the future.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.234

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 head0.041
GPT teacher head0.218
Teacher spread0.177 · 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