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Record W2267186955 · doi:10.5539/jsd.v9n1p55

Reconciling Traditional Indigenous Governance with Contemporary Approaches to Decision Making in Ogoni Communities in Rivers State, Nigeria

2016· article· en· W2267186955 on OpenAlexvenueno aff
Nwamaka Okeke‐Ogbuafor, Tim Gray, Selina M. Stead

Bibliographic record

VenueJournal of Sustainable Development · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCorporate governancePoliticsState (computer science)Face (sociological concept)Focus groupPolitical scienceEconomic growthSociologyBusinessEcologySocial scienceEconomicsAnthropologyLawBiology

Abstract

fetched live from OpenAlex

This paper explores the perceptions of Ogoni people about their system of inherited leadership in Ogoniland, It focuses on whether the Ogoni people believe that their traditional system of inherited leadership has ameliorated or exacerbated the adverse impact of oil capitalism and political interference on their communities. Fieldwork was carried out in eight communities in Ogoniland in early 2014 when 69 key informant interviews were conducted as well as three focus group discussions. The conclusion reached by the paper is that many Ogoni people believe that the system of inherited leadership has let them down in the face of external threats, and that it is time to reform that system by incorporating into it some contemporary western principles of good governance.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.016
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.090
GPT teacher head0.207
Teacher spread0.118 · 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 designQualitative
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

Citations8
Published2016
Admission routes1
Has abstractyes

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