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Record W2277634515 · doi:10.1163/2031356x-02601003

Wolf in sheep’s clothing? The interpretation and application of the equality guarantee under the Ethiopian constitution

2013· article· en· W2277634515 on OpenAlexaff
Takele Soboka Bulto

Bibliographic record

VenueAVRUG-bulletin/Afrika Focus · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsConstitutionDeferenceInterpretation (philosophy)LawIndigenousPolitical scienceNormativeAsideState (computer science)Order (exchange)Law and economicsSociologyLinguisticsPhilosophyBusiness

Abstract

fetched live from OpenAlex

Constitutionally prohibited grounds of differentiation are normally allowed to command the deserved heightened degree of deference before they are set aside in the implementation of the equality guarantee which underpins the remainder of the ‘Bill of Rights.’ So, too, emphasis should be placed on the imperatives of walking the tight rope in reconciling and balancing competing interests that have a legitimate claim to equal attention in order that the equality guarantee is translated into practice. Nevertheless, the obiter dicta of the House of the Federation in the Benishagul Gumuz decision too easily dispensed with explicit constitutional prohibition of distinctions based on attributes such as language and ethnic origin and legitimated the use of the working language of a regional stare as a criterion for candidacy in future elections. The driving motive appears to be to promote (the right to) the use of indigenous languages of each regional state as the official working language, a right that has been denied to the great majority of the nations, nationalities and peoples of the country. This paper explores the conceptual and normative underpinnings of the right to equality, in the light of which it argues that the House of the Federation has erroneously responded to one threat with another. The crux of the contention is that instead of devising ways that uphold every citizen’s right to the use of one’s language anywhere in the country, it takes away the same rights from the non-indigenes of the various regional states, thereby consigning them to the fate either of forced assimilation or permanent exclusion from elections in the path towards public office.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.009
GPT teacher head0.253
Teacher spread0.244 · 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 designNot applicable
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
Published2013
Admission routes1
Has abstractyes

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