"A Beautiful Picture of Chaos": La VÃa Campesina and the Convergence of Food Sovereignty and Climate Justice
Bibliographic record
Abstract
La VÃa Campesina is an international network of peasant farmers that, since 1996, has promoted the concept of food sovereignty. More recently, this collection of over 160 groups worldwide has been connecting this concept with climate justice issues. Drawing on interviews conducted during the 2012 Peopleâs Summit that took place in Rio de Janeiro, and an analysis of the networkâs documents, I consider its work in relation to its member organizations and a broader movement tackling the systemic issues that are driving a range of social, economic and ecological crises. I contend that, while many of VÃa Campesinaâs proposals will require the establishment of intricate processes and systems depending on the geographic, political and cultural context in question, the network is demonstrating that its radical critiques, proposals and decision-making processes may help contribute to a larger counter-hegemonic narrative as a force to counteract global capitalism.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".