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Record W33702887 · doi:10.5206/cie-eci.v36i1.9090

Poverty and Inequality in the Niger Delta: Is National Economic Empowerment and Development Strategy the Answer?

2007· article· en· W33702887 on OpenAlexvenueno aff
Macleans A. Geo-JaJa, Steve Azaiki

Bibliographic record

VenueComparative and International Education · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyEmpowermentBasic needsInequalityEconomic growthPolitical scienceState (computer science)Development economicsEconomics

Abstract

fetched live from OpenAlex

The paper examines economic poverty and educational poverty in the Niger Delta, a region endowed with enormous, but misused, resources. The National Economic Empowerment and Development Strategies (NEEDS) is contrasted with other poverty reduction strategies. The blindness of NEEDS to the complex causes of the situation in the Niger Delta is noted. The issues analyzed concern the emphasis placed on market forces, the schemes used to finance education, and the choice of provision of education towards equality. The final section of the article gives a critical reading of the strategy currently adopted to reduce the incidence of poverty in Nigeria and its failure in the Niger Delta. The paper rejects the NEEDS framework of rolling back the state in favor of market forces as an ineffective education and economic plan for an already disempowered and impoverished region. The paper argues for a targeted, broad-based NEEDS strategy that is focused on re-orienting values, reducing economic and educational poverty, creating wealth, and developing a strong state for mobilizing resources for economic empowerment and sustainable development. Cet article examine la pauvreté sur les plans économique et éducationel dans le Delta du Niger, une région nantie de ressources énormes mais mal utilisées. Les stratégies NEEDS (National Economic Empowerment and Development Strategies) se heurtent aux autres stratégies pour la réduction de la pauvreteé. Les auteurs remarquent que les stratégies NEEDS ferment les yeux aux causes complexes de la situation au Delta du Niger. Les problèmes analysés sont centrés sur l'emphase placée sur les forces du marché, les programmes pour financer lèenseignement, et sur le choix des provisions de l'enseignement vers l'égalité. La dernière section de l'article offre une critique de la stratégie présentement adoptée pour réduire la pauvreté en Nigérie et son échec au Delta du Niger. L'article rejète le cadre de travail de NEEDS dans lequel le rôle de l'état cède le pas aux forces du marché. Pour les auteurs, ceci est un plan inefficace pour l'enseignement comme pour l'économie pour cette région déjà démunie du pouvoir et déjà appauvrie. L'article propose pour les NEEDS, une stratégie mieux axée sur les buts et aux bases plus enlargies, et qui est centrée sur la réorientation des valeurs, la réduction des pauvretés économique et éducationnelle, la création des biens, et le développement d'un état fort pour mobiliser les ressources capables de créer un pouvoir économique et un développement continu.

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)0.005
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0060.005
Open science0.0000.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.118
GPT teacher head0.347
Teacher spread0.229 · 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

Citations6
Published2007
Admission routes1
Has abstractyes

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