Mozambique, Neoliberal Land Reform, and the Limpopo National Park*
Bibliographic record
Abstract
. Central to its transformation from a state‐centered to a neoliberal, free‐market economy, in 1997 the Mozambican state passed a radical new land law that guarantees the rights of individuals and communities to occupy land and transfer land‐use titles, a move seen as necessary for attracting private investment. By comparing how the land law has been applied to the Limpopo National Park and several adjacent villages, I show how it has led to geographically uneven land reform. More specifically, outside the park, the law has enabled the semiprivatization of community lands, in theory protecting community land rights. However, the application of the law within the park has resulted in the further nationalization of this space, which is leading to land dispossession for communities within the park's borders. I thus show how neoliberal land reform is giving rise to a seemingly contradictory type of “neoliberal state space.”
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".