The global food system, agro-industrialization and governance: alternative conceptions for sub-Saharan Africa
Bibliographic record
Abstract
Global food security challenges give rise to contentious debates. Conventional approaches to agricultural development call for capital-intensive industrial-scale farming to increase global productivity. Sub-Saharan Africa is the main target for agro-industrial farmland investments. Critical scholars oppose these trends in the region, arguing that the large-scale farming model causes a devastating loss of land resources and harms rural livelihoods. Critical development scholars and critical globalization scholars generally intersect in their candid rejection of global capitalism and the commodification of agri-food resources. This paper adds to existing critiques by advancing a governance approach. In reviewing case study evidence from eight countries, it highlights the crucial role of governments, who ultimately wield sovereign authority to regulate the agricultural sector. This analysis represents a fusion of critical development studies and critical globalization studies. Rather than rejecting the global capitalist system, it sheds light on the need for effective regulation and identifies key actors and policy areas.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.029 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".