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Record W4406270549 · doi:10.33002/jelp040308

Customary Land Ownership and Women’s Land Rights in Nigeria: Extending the Frontiers of Feminist Environmental Justice

2024· article· en· W4406270549 on OpenAlexvenueno aff
Ejiro Tessy Kore-Okiti, Ogechi Jessica Megbele

Bibliographic record

VenueJournal of Environmental Law & Policy · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
Fundersnot available
KeywordsLand rightsEnvironmental justiceLand lawLand tenureEconomic JusticePolitical scienceEnvironmental planningNatural resource economicsEnvironmental ethicsEnvironmental resource managementBusinessGeographyLawEconomicsArchaeology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.199
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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