MétaCan
Menu
Back to cohort
Record W1600732557 · doi:10.1080/02255189.2010.9669285

Corporate Social Responsibility and the Rentier Nigerian State: Rethinking the Role of Government and the Possibility of Corporate Social Development in the Niger Delta

2010· article· en· W1600732557 on OpenAlexaffvenue
Uwafiokun Idemudia

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsYork University
FundersMinistry of Environment
KeywordsCorporate social responsibilityGovernment (linguistics)Niger deltaState (computer science)Perspective (graphical)BusinessDeveloping countryPolitical scienceEconomic growthDevelopment economicsEconomic systemPublic relationsDeltaEconomicsEngineering

Abstract

fetched live from OpenAlex

This paper contributes to the emerging discussion on the role of government in corporate social responsibility (CSR) from a developing country perspective. Drawing on a preliminary conceptual framework, the paper critically examines the extent to which the Nigerian government has facilitated or inhibited CSR practices, and the ramifications for corporate social development. It demonstrates that the nature of the Nigerian state, the country's rentier economy, and the contested nature of CSR have prevented the Nigerian government from providing an enabling environment for CSR, which, together with oil companies' failures, undermine the possibility of corporate social development in the Niger Delta.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.010
Scholarly communication0.0050.003
Open science0.0000.003
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 head0.048
GPT teacher head0.210
Teacher spread0.161 · 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 designNot applicable
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

Citations67
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Development Studies/Revue canadienne d études du développementSame topicNatural Resources and Economic DevelopmentFrench-language works237,207