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Record W2168213704 · doi:10.5539/jsd.v5n7p48

Nigeria: In Search of Sustainable Peace in the Niger Delta through the Amnesty Programme

2012· article· en· W2168213704 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Sustainable Development · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsAmnestyMultinational corporationGovernment (linguistics)RevenuePolitical scienceEconomic growthLanguage changeBusinessEconomic policyEconomyEconomicsLawPoliticsFinance

Abstract

fetched live from OpenAlex

Environmental pollution by way of oil spillage and gas flaring are the lots and bane of the Niger Delta region of Nigeria, where the country’s oil exploration activities are carried on by the oil multinational companies (MNCs). The cries of the people as well as several non-governmental organizations for attention to the area were not only spurned, but were at intervals rebuffed with crackdown and repression from successive administrations in the country, with the strong connivance of the oil MNCs. The situation reached a crescendo, when the people of this region took to self-help by bombing, kidnapping and abducting the expatriates and other categories of personnel of the oil MNCs in exchange for monetary ransom. The government not able to bear the embarrassment and the drop in daily oil production, coupled with the substantial loss of revenues devised the amnesty programme in 2009 as solution to the quagmire. The paper is aimed at examining the circumstances causing the crisis situation in the area, and the attendant consequences to the people of the areas and to the global community. It will attempt a critical analysis of the amnesty programme of the Federal government as a last resort and its impact at ensuring durable peace and sustainable development in the region. It discusses some of the challenges to amnesty programme and concludes with potential policy recommendations.

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.

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)0.008
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.242
Teacher spread0.211 · 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