Analysing the constraints to corporate land control: the influence of local power dynamics on a large-scale land deal in Senegal
Bibliographic record
Abstract
In the last fifteen years, Senegal has been highly coveted by land-seeking investors. Yet despite the rise in the number of large-scale land acquisitions in this country, many projects never materialized, have experienced significant setbacks or collapsed altogether. By showing how local power dynamics can be reinforced by, and in turn impact on, attempts at corporate land control, this contribution advances our understanding of the constraints to farmland investments in Africa. It examines how the Senegalese government cancelled a high-profile agribusiness project in the Senegal River Valley due to a combination of party factionalism, intransigence on the part of the rural council president, intra-lineage rivalry, strong village pride and pastoralists’ grievances. Based on extensive field research, this paper argues that the arrival of external investors can both amplify pre-existing cleavages and disrupt power arrangements in local communities, thereby undermining corporate land control and opportunities for profit-making.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".