Breeding sovereignty: the production of race, nature, and capital in Venezuela
Bibliographic record
Abstract
Abstract This article explores the efforts of the Venezuelan government to improve food security and rural livelihoods with an experimental cattle‐breeding project. It investigates the activities of a state enterprise in the western plains and how the selective‐breeding practices of veterinary experts intersect with the logic of capital and biopolitics. Contributing to debates on the interaction between society and environment, the analysis suggests that ‘endogenous development’, or the reduction of poverty through internal markets, draws on systems of knowledge that treat the biology of animals as a field of intervention for the resolution of social contradictions. To reduce reliance on petroleum rent and food imports, Venezuelan experts have sought to create a new breed of cattle suited to the nation's diverse ecologies. But the knowledge systems which guide this project are embedded with a host of cultural and economic assumptions that subvert the successful application of this biotechnology. Ultimately, this article seeks to increase knowledge of the techno‐politics of resource states at the start of the twenty‐first century and the ways in which cultures of expertise impact food sovereignty.
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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 | 0.002 |
| 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 | 0.003 |
| 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".