Genetically Engineered Nonhuman Animals: A Global Overview and Research Agenda
Bibliographic record
Abstract
Abstract This paper suggests studies on genetically engineering nonhuman animal genes have globalized over the last 30 years. The results unveil maps that give a global overview of universities’ studies into engineering animal genes, by purpose and by species, at a state scale. A network map also shows how studies on engineering animal genes are co-constituted internationally, at a state scale. Some of the more notable map findings are developed using a novel ontological approach. This ontology relates the being of an animal, a constitutive lack, to power relations. The beings of animals are trapped into serving capital through the engineering of their genes. This reconfiguration allows the ensnaring of the body in agricultural, or other, power relations. The scale of this carceral archipelago is positioned as a global risk. Life energy, by nature, resists capture. Therefore, the paper concludes that the clock is ticking on genetic scientists’ Faustian bargain.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".