Land grabbing, gender and access to land: implications for local food production and rural livelihoods in Nguti sub-division, South West Cameroon
Bibliographic record
Abstract
This article examines the disproportionate gendered impacts of land grabbing amongst affected communities in Nguti subdivision of the South West Region of Cameroon. I argue that, first, pre-existing land tenure systems and a shift to a capitalist agrarian production structure has led to unequal access to land between men and women. Second, I show that the loss of land to commercial interests has constrained women’s abilities to access land either for crop production and/or to harvest non-timber forest products (NTFPs), creating significant livelihood stress for them and their communities. I conclude by advocating that the state should formally recognise customary tenure, and mainstream gender within its institutions (customary and statutory) governing land and forest resources. Women need to be empowered through education and capacity-building programs to enable them to exercise their rights to access land, and benefit from resources.
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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 | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".