Does the New Alliance for Food Security and Nutrition impose biotechnology on smallholder farmers in Africa?
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
Almost one in three people who live in sub-Saharan Africa (SSA) are hungry, higher than anywhere else. This magnitude of food insecurity coupled with slow progress in regional integration, disease and epidemics, poor access to markets, gender disparities, lack of land tenure rights, and governance and institutional shortcomings on the continent have been used to justify a narrative for the inclusion of biotechnology in smallholder agriculture in SSA. The fact, however, suggests that even in the face of these challenges, smallholder farmers in SSA still produce 70% of the food on the continent. We critically examine the introduction of biotechnology in smallholder farming within the context of the New Alliance for Food Security and Nutrition and public–private partnerships in SSA. We explicitly address the bioethical concerns and implications for technology adoption goals in line with a neoliberal economic model that is encouraging smallholder farmers to adopt biotechnology as a way to secure more food for communities. This paper is not meant to pose a simplistic pro or anti stance on genetically modified (GM) crops or biotechnology, but rather to situate the debate about GM technology within issues of power, control in the global food agriculture systems, and point to the bioethical concerns that affect the lives of smallholder farmers and their families on a daily basis.
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