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Record W2744444742 · doi:10.1163/17087384-12340006

A Human Rights Approach to Access to Land and Land Dispossession: An Examination of Ethiopian Laws and Practices

2016· article· en· W2744444742 on OpenAlexvenueno aff
Demelash Shiferaw Reta

Bibliographic record

VenueAfrican Journal of Legal Studies · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsExpropriationLand lawConstitutionHuman rightsLawGovernment (linguistics)Land tenureContext (archaeology)HarmonizationPolitical scienceLaw and economicsBusinessEconomicsGeography

Abstract

fetched live from OpenAlex

For many people, access to land is necessary to realizing human rights. Although not clearly recognized in international human rights law, the right to land might be inferred from many of its provisions. In the Ethiopian context, the Constitution guarantees access to land. However, this right is being eroded because of the government’s measures to satisfy the ever-increasing demand for land through expropriation and the allocation of ‘vacant’ land. This article argues the former gives the government extensive power while the latter neglects traditional communal landholding system. This desk research based on literature review, legal analysis and secondary data, demonstrates how the government’s actions are impinging on the human rights of the people in the rural areas and recommends reform in the land-tenure system as well as the harmonization of the subsidiary expropriation laws through the Constitution.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.013
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.067
GPT teacher head0.330
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2016
Admission routes1
Has abstractyes

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