Understanding attitudes towards the use of animals in research using an online public engagement tool
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
Using an online public engagement experiment, we probed the views of 617 participants on the use of pigs as research animals (to reduce agricultural pollution or to improve organ transplant success in humans) with and without genetic modification and using different numbers of pigs. In both scenarios and across demographics, level of opposition increased when the research required the use of GM corn or GM pigs. Animal numbers had little effect. A total of 1037 comments were analyzed to understand decisions. Participants were most concerned about the impact of the research on animal welfare. Genetic modification was viewed as an intervention in nature and there was worry about unpredictable consequences. Both opponents and supporters sought assurances that concerns were addressed. Governing bodies for animal research should make efforts to document and mitigate consequences of GM and other procedures, and increase efforts to maintain a dialogue with the public around acceptability of these procedures.
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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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