The legacies of partial possession: From agrarian struggle to neoliberal restructuring in Mexico and Colombia
Bibliographic record
Abstract
How have communities in Latin America responded to neoliberal agrarian reforms? We address this question via an incorporated comparison of two regions affected by rural restructuring: La Laguna, Mexico and Viejo Caldas, Colombia. Prior to the introduction of market-led reforms, agricultural producers in both regions were heavily dependent on state support, yet in neither did they mobilize to resist neoliberal policies that were incompatible with the prevailing system of state-managed commercial agriculture. What explains this outcome? We argue that acquiescence to neoliberalism was, paradoxically, a legacy of agrarian unrest: In response to major mobilizations, historic land reforms were carried out in La Laguna and Viejo Caldas during the 1930s that created regional political economies organized around cotton and coffee, respectively. Over time, these economies evolved into regimes of ‘partial possession’ wherein the social reproduction of rural livelihoods came to depend on specific state institutions: the Ejido Bank in Mexico and Fedecafé in Colombia. We attribute the absence of organized opposition to neoliberal reforms in La Laguna and Viejo Caldas to the conservatizing political transformation that partial possession engendered. In so doing, we highlight the importance of regional histories in shaping popular responses to neoliberal restructuring across the variegated landscape of Latin America’s countryside.
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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 | 0.001 | 0.002 |
| 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 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".