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Record W2112689751 · doi:10.5539/jpl.v7n1p64

The Aftermath of the Conflict on Fuel Subsidy Removal in Nigeria

2014· article· en· W2112689751 on OpenAlexvenueno aff
B. E. A. Oghojafor, Francis C. Anyim, Joy Onyinyechi Ekwoaba

Bibliographic record

VenueJournal of Politics and Law · 2014
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, and Transportation Policies
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyGovernment (linguistics)Duration (music)Economic policyPolitical scienceEconomicsPublic administrationBusinessPolitical economyLaw

Abstract

fetched live from OpenAlex

The removal of the subsidy on fuel by the Federal Government of Nigeria at the dawn of 1st January, 2012 led to series of protests by the Labour Movement, Civil Society Groups Human Rights Activists and other Groups. The crisis eventually gravitated to a full blown strike which lasted for six consecutive days. In this paper, attempt is made to examine the arguments raised by the protagonists and opponents of the fuel subsidy removal, the role played by the various stakeholders before and during the strike and the economic loss incurred by the country within the duration of the conflict. Furthermore, the paper takes a look at the bribery scandal and other events that followed the submission of the House of Representatives Ad hoc probe panel report on the oil subsidy regime. A score board was drawn which shows a resultant win-win outcome by the parties. The paper concludes with recommendations that could avert reoccurrence of similar crisis in the future.

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0090.003
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.229
Teacher spread0.220 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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