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Record W1991555289 · doi:10.1080/17496535.2012.704637

Implications of Customary Practices on Gender Discrimination in Land Ownership in Cameroon

2012· article· en· W1991555289 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEthics and Social Welfare · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsCustomary landContext (archaeology)Land tenureLand lawPolitical scienceNatural resourceFood securitySociologyEconomic growthGender studiesLawGeographyEconomics

Abstract

fetched live from OpenAlex

Abstract Africa, before European colonization, knew no other form of legal system outside customary arrangements. Based on secondary sources and a primary survey conducted between 2009 and 2010 on the situation of women and land rights in anglophone Cameroon, this paper examines the grounds for discrimination in customary laws against women's rights to land in the context of legal pluralism, and discusses the implications of this custom of gender discrimination. In drawing from Cameroon as an exemplar, it concludes that the strong influence and impact of customs on current land tenure systems have global implications on women's land rights, food security and sustainable development, and that gender equality in land matters can be possible only where the critical role of ethics is recognized in pursuit of the economic motive of land rights. Keywords: Women's RightsLand TenureCustomary PracticesDiscriminationDevelopment Acknowledgements This study was carried out under Canadian International Development Research Centre (IDRC) Grant no. 105467 to the University of Buea. The authors gratefully acknowledge the comments, suggestions and editorial assistance of Cynthia Bisman in relation to the early drafts, which have impacted positively on this paper. Additional informationNotes on contributorsLotsmart Fonjong Lotsmart N. Fonjong holds a PhD in Human Geography from the University of Yaounde 1, Cameroon and an MA in Development Studies from the University of Leeds in the United Kingdom. He is Associate Professor of Geography. His research interests include natural resource management, women's rights, human rights organizations, and non-governmental organizations Irene Fokum Sama-Lang Irene Fokum Sama-Lang received her LLM in International and Commercial Law from the University of Buckingham, UK in 1992 and is waiting to defend her PhD in Employment Security at the University of Buea, Cameroon. She is currently a lecturer in land law, amongst others, at the University of Buea, Cameroon Lawrence Fon Fombe Lawrence Fon Fombe is a Senior Lecturer in Urban Studies and Development Planning at the University of Buea, Cameroon. He is interested in digital cartography as an important tool in managing spatial variations and environmental problems. He received a BA and Doctorat de 3e Cycle in Geography from the University of Yaounde in 1982 and 1989, respectively. He is a holder of a PhD from the University of Buea, Cameroon (2005)

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.

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 score0.251
Threshold uncertainty score0.388

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 head0.127
GPT teacher head0.333
Teacher spread0.207 · 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