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Record W2735348421 · doi:10.1177/1086026617718428

Shell–NGO Partnership and Peace in Nigeria: Critical Insights and Implications

2017· article· en· W2735348421 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

VenueOrganization & Environment · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsYork University
Fundersnot available
KeywordsPeacebuildingGeneral partnershipPanacea (medicine)Conflict resolutionPolitical sciencePublic relationsSociologyPublic administrationLaw

Abstract

fetched live from OpenAlex

The recent efforts to better understand how businesses can contribute to peace in conflict zones suggest that partnerships can be an effective vehicle for corporate peacebuilding. However, empirical analyses of how partnerships contribute to peace remain limited. Drawing on the differences among cultural, structural, and direct violence, this article examines the extent to which the partnership between Shell and a group of NGOs contributes to peace in the Niger Delta region. Based on qualitative data, the article shows that the partnership contributes to conditions that might ameliorate cultural sources of violence, but not structural causes of direct violence. Hence, business–NGO partnerships are likely more suitable for conflict prevention rather than conflict resolution. The implication is that while partnership might be a useful corporate peacebuilding strategy, it is not necessarily a panacea. The article identifies areas of future research that can strengthen the emerging field of business and peace.

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)0.000
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 score0.355
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.285
Teacher spread0.265 · 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