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Record W1594891248

Reclaiming Humanity: Economic, Social and Cultural Rights as the Cornerstone of African Human Rights

2002· article· en· W1594891248 on OpenAlexfundno aff
Shedrack C. Agbakwa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
FundersKillam TrustsDalhousie University
KeywordsHuman rightsRight to propertyInternational human rights lawCultural rightsPolitical scienceFundamental rightsLinguistic rightsRights of NatureEnforcementSocial rightsPoliticsCornerstoneHumanityReservation of rightsContext (archaeology)Law and economicsLawSociology
DOInot available

Abstract

fetched live from OpenAlex

This Article argues that economic, social, and cultural rights are the key\nto effectively realizing human rights in Africa. It contends that human\nrights discourse on the indivisible bundle of rights must be put into\npractice in the African context, where these rights are people's primary\nmeans of self-defense. First, the Article argues that African governments'\nfailure to enthrone enforceable socio-economic rights compromises civil\nand political rights. It then examines the inextricable link between these\nrights and development, arguing that there is no justification for\ndiscriminatory enforcement of human rights. The Article addresses\nfactors inhibiting the realization of these rights. It highlights the broad\nconsequences of the continued marginalization of socio-economic rights.\nFinally, it urges a rejection of the Western model and explores approaches\nto improve the fortunes of these rights. It concludes that selective\nenforcement of human rights in the context of worsening social, economic,\ncivil, and political conditions is a heedless truncation of humanity.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.052
Scholarly communication0.0080.010
Open science0.0010.008
Research integrity0.0030.004
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 head0.069
GPT teacher head0.311
Teacher spread0.242 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations10
Published2002
Admission routes1
Has abstractyes

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Same topicHuman Rights and DevelopmentFrench-language works237,207