Beyond land grabs: new insights on land struggles and global agrarian change
Bibliographic record
Abstract
The conjunction of climate, food, and financial crises in the late 2000s triggered renewed interest in farmland and agribusiness investments around the world.This phenomenon became known as the 'global land grab' and sparked debates among social movements, NGOs, academics, government and international development agencies worldwide.In this introduction, we critically analyse the 'state of the literature' so far, and outline four areas that are moving the debate 'beyond land grabs'.These include: (1) the role of contract farming and differentiation among farm workers in the consolidation of farmland; (2) the broader forms of dispossession and mechanisms of control and value grabbing beyond 'classic' land grabs for agricultural production; (3) discourses about, and responses to, Chinese agribusiness investments abroad; and (4) the relationship between financialization and land grabbing.Ultimately, we propose new directions to deepen and even transform the research agenda on land struggles and agroindustrial restructuring around the world.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".