Animal Ethical Evaluation: An Observational Study of Canadian IACUCs
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
Three Canadian institutional animal care and use committees were observed over a 1-year period to investigate animal ethical evaluation. While each protocol was evaluated, the observer collected information about the final decision, the type of protocol (research vs. teaching), and the category of invasiveness. The observer also wrote down verbatim all verbal interventions, which were coded according to the following categories: scientific, technical, politics, human analog, reduction, refinement, and replacement. The data revealed that only 16% of the comments were devoted to the 3 explicit ethical categories (i.e., reduction, refinement, and replacement) and that most of the comments were technical. However, the analysis revealed that ethical concerns were implicit in both scientific and technical language, or some of the scientific and technical comments had an impact on the ethical treatment of animals. The results are discussed in relation to previous nonobservational research that identified potential pitfalls and bias in animal ethical evaluation.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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