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Record W4381308421 · doi:10.1177/00236772231168328

Supporting advancement of lab animal welfare and scientific integrity in developing countries: ACURET Cage Consortium (ACCON) Project

2023· article· en· W4381308421 on OpenAlexfundno aff
Francis Fakoya

Bibliographic record

VenueLaboratory Animals · 2023
Typearticle
Languageen
FieldVeterinary
TopicAnimal testing and alternatives
Canadian institutionsnot available
FundersKing's College LondonTrent UniversityNottingham Trent University
KeywordsAnimal welfareSine qua nonAnimal husbandryDeveloping countryBusinessHuman welfareAnimal healthWork (physics)WelfarePolitical scienceVeterinary medicineEconomic growthMedicineEngineeringBiologyAgriculture

Abstract

fetched live from OpenAlex

Research involving animals remains an essential tool to increase our understanding of how human and animal bodies work; how diseases affect them and the safety assessment of chemicals, such as pesticides, for their possible effects on human health or the environment; and how diseases can be prevented or treated via developing and testing medicines and vaccines for humans or animals. To achieve high quality science based on animal manipulations and experimentations from developing countries, adequate welfare of the lab animals needs to become sine qua non for all concerned.ACURET.ORG is in the forefront of promoting humane animal care and use for scientific purposes in developing countries, with focus on Africa, seeking to aid and facilitate aspects of Institutional Lab Animal programmes in addition to its training and education programmes in the last 11 years since its inception and incorporation eight years ago. ACURET has embarked upon a project tagged 'ACURET Cage Consortium Project', the provision of re-usable 'open-top' cages for mice and rats in place of the many varied artificial housing materials being used to hold such animals in many facilities in Africa. ACURET is seeking old but functional cages and accessories, still 'fit for purpose'; other animal husbandry and research equipment, as donations from institutions and industry for distribution to institutions in Africa who require them to improve their lab animal welfare programme.With a phased funding support from Laboratory Animal Ltd., ACURET will be responsible for the collection of donated items from locations, re-package them for sea-shipping to NIMR in Lagos, from where they will be distributed to successful applying institutional animal facilities, on a 'first come, first served' basis.At the heart of the ACURET Cage Consortium Project is the enablement of researchers in Africa to engage in the essence of their research when the welfare of the laboratory animals they care for and use has been affirmed. Ultimately, we anticipate that the project will support raising the bar on Africans skilled in humane animal care and use for scientific purposes in developing countries.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.928

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 studies0.0000.000
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 head0.119
GPT teacher head0.422
Teacher spread0.303 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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