Power and dispossession in the neoliberal food regime: oil palm expansion in Guatemala
Bibliographic record
Abstract
Guatemala’s palm oil production has surged in line with the global demand for biodiesel and vegetable oil production. While corporate land grabs have been a popular concept in agrarian studies, we emphasize the integral roles of the state and racially-charged political power relations, enhanced by the neoliberal food regime. These power relations, with racism at their core, foster land control grabs occurring alongside the rise of the palm oil industry. Their effects extend beyond merely the dispossession of land. The oil palm expansion and related dispossessions mostly benefit the international markets and the wealthy ruling class comprised of creole descendants and affluent ladinos. The soaring industry has given rise to human rights violations and a lack of access to or control of various resources, such as food and water. Based on fieldwork, we show that dispossessed Guatemalans, especially the indigenous, experience rising poverty, domestic food shortages and an influx of foreign foodstuffs as the meagrely paid work in the oil palm sector is only available for the few.
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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 | 0.000 | 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 | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".