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Record W2127700917 · doi:10.1002/pop4.109

Neoliberal Reforms in an Emerging Democracy: The Case of the Privatization of Public Enterprises in Nigeria, 1999–2014

2015· article· en· W2127700917 on OpenAlexaff
Eyene Okpanachi, Peter Chukwuma Obutte

Bibliographic record

VenuePoverty & Public Policy · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPoliticsDemocracyNeoliberalism (international relations)IdeologyEquity (law)GlobalizationPolitical economyEconomicsEconomic systemMarket economyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article critically appraises the political, social, and economic processes of privatization in Nigeria since 1999. A qualitative analysis of the privatization process and outcomes is carried out within the broader state versus market debate in political economy of reforms. It will be revealed that privatization has not produced its purported outcomes of efficiency/consumer satisfaction and social equity, and the privatization process has not been thoroughly transparent and accountable. In explaining the outcomes and process, the article highlights the problems posed for reforms by the weak democratic infrastructure and institutional framework for regulation; the logic of neoliberal ideology, which constrains the space of action for developing countries or forces these countries to act along specific trajectories instead of others in order to be seen as embracing globalization; and above all, the political constraints relating to the opportunistic and self‐interested attitude of political and economic elites who are determined to continue to benefit from privatization as they did during the pre‐reform era of public enterprises.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.325
Teacher spread0.272 · 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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

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