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Record W63752452 · doi:10.1177/026119290903702s09

Establishing a Three Rs Programme at the Canadian Council on Animal Care

2009· article· en· W63752452 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAlternatives to Laboratory Animals · 2009
Typearticle
Languageen
FieldVeterinary
TopicAnimal testing and alternatives
Canadian institutionsCanadian Council on Animal Care
Fundersnot available
KeywordsWork (physics)Promotion (chess)Political sciencePublic relationsStatement (logic)Public administrationEthics committeeLibrary scienceMedical educationMedicineEngineeringLawComputer science

Abstract

fetched live from OpenAlex

The anniversary of the Fund for the Replacement of Animals in Medical Experiments (FRAME) provides an opportunity to celebrate the Charity's achievements over the past 40 years, and in particular, its contribution to the international acceptance of the Three Rs as the basis of an ethic for animal experimentation, and its role as a leader in the implementation of the Three Rs in the life sciences. The Canadian Council on Animal Care (CCAC) has based its work on the Three Rs, especially since the establishment of its fundamental CCAC Policy Statement on the Ethics of Animal Investigation (1989). Following recommendations from the evaluation of its programmes by external committees established by the national granting agencies, the CCAC recently launched a Three Rs Program. This programme will build on the work of FRAME and other similar Three Rs organisations, to further the promotion and implementation of the Three Rs in Canadian science.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.202
GPT teacher head0.370
Teacher spread0.168 · 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