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
The field of animal biotechnology has been rapidly expanding and the development of transgenic animals has been part of this research expansion. How the public perceives such developments is an important component of policy considerations. In general, biotechnology applications have been judged with evident hierarchies of acceptability. There appearto be hierarchies in terms of the type of organism being modified, the purpose of the application, the means to attain particular ends, and the nature of the benefits obtained. While general awareness of biotechnology and its specific applications remains low to moderate, this article presents data regarding public acceptance of a variety of applications. These range from the use of animals as disease models and as sources for tissues and organs, to the use of transgenic animals for disease control, for food, and for the production of pharmaceutical and industrial products. Case-by-case judgments are evident, but at the same time, the application of criteria such as the nature of the organism being modified, the animal welfare aspects and the ethical-moral concerns are additional criteria for public judgments. These findings are discussed in the context of their implications for public policy.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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