Reworking the metabolic rift: La Vía Campesina, agrarian citizenship, and food sovereignty
Bibliographic record
Abstract
Amidst increasing concerns about climate change, food shortages, and widespread environmental degradation, a demand is emerging for ways to resolve longstanding social and ecological contradictions present in contemporary capitalist models of production and social organisation. This paper first discusses how agriculture, as the most intensive historical nexus between society and nature, has played a pivotal role in social and ecological change. I explore how agriculture has been integrally associated with successive metabolic ruptures between society and nature, and then argue that these ruptures have not only led to widespread rural dislocation and environmental degradation, but have also disrupted the practice of agrarian citizenship through a series of interlinked and evolving philosophical, ideological, and material conditions. The first section of the paper thus examines the de-linking of agriculture, citizenship, and nature as a result of ongoing cycles of a metabolic rift, as a ‘crucial law of motion’ and central contradiction of changing socio-ecological relations in the countryside. I then argue that new forms of agrarian resistance, exemplified by the contemporary international peasant movement La Vía Campesina's call for food sovereignty, create a potential to reframe and reconstitute an agrarian citizenship that reworks the metabolic rift between society and nature. A food sovereignty model founded on practices of agrarian citizenship and ecologically sustainable local food production is then analysed for its potential to challenge the dominant model of large-scale, capitalist, and export-based agriculture.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".