The Three Pillars of Ethical Research with Nonhuman Primates
Bibliographic record
Abstract
The Three Pillars (Harmonization, Replacement, and Justice) describe an ethical path forward and away from the use of nonhuman primates in harmful research and scientific use. Conducting nonhuman primate research in an ethical way that acknowledges their moral importance requires satisfying more rigorous guidelines and regulations modeled on those that apply to similarly vulnerable human subjects, especially children and incarcerated persons. This Element argues for the moral necessity of harmonizing human and nonhuman primate research ethics, regulations, and guidelines in a way that protects all primates, human and nonhuman. The authors call for the replacement of nonhuman primates in research with human-relevant methods that do not simply shift research onto other nonhuman animals, and challenge publics, governments, and scientific communities worldwide to implement justice in the selection and use of all research subjects. This title is also available as Open Access on Cambridge Core.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.033 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.010 | 0.007 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".