Incorporating Animal Alternatives in a Training Programme in Laboratory Animal Care and Use
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.
Bibliographic record
Abstract
Through the years, scientists and technicians, within their laboratories, trained individuals new to animal research. In the mid-1980s, new and revised laws/guidelines for animal research, including training, were instituted. The process of training scientists, technicians and students is recognised as essential for animal welfare and good science. Under the current and future revisions of the mandates, training must include specific topics. Training must include details of various regulations and guidelines, proper handling and care for animals, proper pre-procedural and post-procedural care of animals, aseptic surgical methods and procedures, proper use of anaesthetics, analgesics and tranquilisers, methods whereby deficiencies in animal care and treatment are reported, and a search for alternatives to the use of animals. Training individuals in clinical techniques (injection, blood collection, anaesthesia, etc.) is critical for humane treatment of animals, safety for the trainee and reliable animal data for the scientific project. Written materials about the clinical techniques should be provided at the training session, and training records must be kept.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it