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Record W2594103335 · doi:10.2903/sp.efsa.2015.en-678

Preparatory work for the development of a scientific opinion on the main welfare risks related to the farming of sheep for wool, meat and milk production

2015· article· en· W2594103335 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

VenueEFSA Supporting Publications · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural safety and regulations
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsContext (archaeology)Library sciencePolitical scienceAgricultural scienceAgricultural economicsGeographyEconomicsArchaeology

Abstract

fetched live from OpenAlex

This report contains the results of a scoping review of sheep welfare studies and a systematic review of the effect of extensive/outdoor/migratory management on lameness compared to intensive/indoor management systems in sheep raised for the production of meat, milk, or wool in Europe. The scoping review allowed identifying and mapping 679 citations relevant to sheep welfare. Those citations were mapped according to the study population, 8 main welfare determinants (management, environment, genetics, nutrition/feeding/watering, behaviour, health, housing, handler traits/human-animal bond) and outcomes. Such mapping supported the WG in identifying gaps of knowledge and data that further led to seeking for experts' knowledge, as well as to identify areas where a systematic literature process could be performed. The systematic review that followed the scoping review provided evidence that the management system is not associated with the prevalence or risk of lameness. However, higher stocking densities were associated with prevalence or risk lameness. The body of work may appear to be quite small, however, given the difficulties faced by researchers investigating this topic, identifying studies that looked at these factors in a limited region of the world is a reasonable body of work. This is a difficult topic to study as the exposures are variable and the outcomes difficult to measure in production systems as they can occur year round and have numerous causes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.103
GPT teacher head0.308
Teacher spread0.206 · 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