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Record W2033507956 · doi:10.1002/jid.1644

Rethinking the role of corporate social responsibility in the Nigerian oil conflict: The limits of CSR

2009· article· en· W2033507956 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of International Development · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsYork University
Fundersnot available
KeywordsCorporate social responsibilityMultinational corporationNiger deltaPetroleum industryBusinessScale (ratio)Social responsibilitySocial conflictPolitical scienceDevelopment economicsPublic relationsEconomicsPoliticsLawDeltaFinance

Abstract

fetched live from OpenAlex

Abstract The widespread adoption of corporate social responsibility (CSR) by oil multinational corporations (MNCs) in Nigeria supposedly marked a watershed in corporate–community relations in the Niger Delta. This is because, after decades of initially rejecting such responsibilities, oil MNCs reversal of attitude towards CSR was expected to at least tamper the scale and intensity of violence. However, despite such widespread claims of adherence to the ideals of CSR, corporate–community conflict has remained unabated and oil companies continue to be accused of familiar misdemeanour. This paper argued that structural and systemic deficiencies inherent in CSR practices limit the effectiveness of CSR as a vehicle for conflict prevention and reduction in the Niger Delta. The paper concludes by considering the implications for CSR‐conflict nexuses in the Nigerian oil industry. Copyright © 2009 John Wiley & Sons, Ltd.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.062
GPT teacher head0.253
Teacher spread0.192 · 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