Customary Land Ownership and Women’s Land Rights in Nigeria: Extending the Frontiers of Feminist Environmental Justice
Bibliographic record
Abstract
Nigerian women are subject to deprivation in many ramifications despite the Constitutional safeguard protecting their rights against discrimination. Women in some Nigerian societies are still not recognized as having tangible entitlement in communal and family lands. They are mostly decorated with the rights of users even though they constitute the larger population of farmers in rural areas. The article is an investigation into the nature of women’s land rights in Nigeria and the disproportionate distribution of social and economic benefits flowing from the exploitation of the environment. This enquiry is prompted by the fact that oil mining and exploration activities adversely impact the environment, leaving women as the most affected. Notwithstanding, women are not substantially involved in the negotiations leading to reparation, remediation and the payment of compensation or the distribution of other social and economic benefits. The study finds that discriminatory customary inheritance laws impair women’s land rights in Nigeria including participatory environmental rights. Users of native lands deal with heads of communities and family heads who are mostly male thereby promoting unfair treatment and denial of women’s rights to share in the benefits of the environment even though women are more vulnerable to environmental harm, occasioning wider gender economic disparity and greater social and cultural inequality.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".