The Ethics of Introducing <scp>GMOs</scp> into sub‐<scp>S</scp>aharan <scp>A</scp>frica: Considerations from the sub‐<scp>S</scp>aharan <scp>A</scp>frican Theory of <i><scp>U</scp>buntu</i>
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
A growing number of countries in sub-Saharan Africa are considering legalizing the growth of genetically modified organisms (GMOs). Furthermore, several projects are underway to develop transgenic crops tailored to the region. Given the contentious nature of GMOs and prevalent anti-GMO sentiments in Africa, a robust ethical analysis examining the concerns arising from the development, adoption, and regulation of GMOs in sub-Saharan Africa is warranted. To date, ethical analyses of GMOs in the global context have drawn predominantly on Western philosophy, dealing with Africa primarily on a material level. Yet, a growing number of scholars are articulating and engaging with ethical theories that draw upon sub-Saharan African value systems. One such theory, Ubuntu, is a well-studied sub-Saharan African communitarian morality. I propose that a robust ethical analysis of Africa's agricultural future necessitates engaging with African moral theory. I articulate how Ubuntu may lead to a novel and constructive understanding of the ethical considerations for introducing GMOs into sub-Saharan Africa. However, rather than reaching a definitive prescription, which would require significant engagement with local communities, I consider some of Ubuntu's broader implications for conceptualizing risk and engaging with local communities when evaluating GMOs. I conclude by reflecting on the implications of using local moral theory in bioethics by considering how one might negotiate between universalism and particularism in the global context. Rather than advocating for a form of ethical relativism, I suggest that local moral theories shed light on salient ethical considerations that are otherwise overlooked.
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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 | 0.010 | 0.092 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| 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