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Record W3198785405 · doi:10.1080/00083968.2021.1965893

Dispatches from Nigeria: the actions of Royal Dutch Shell and ChevronTexaco in the Warri Crisis, 2003–2004

2021· article· en· W3198785405 on OpenAlexvenueno aff
E. H. Hunt

Bibliographic record

VenueCanadian Journal of African Studies / Revue canadienne des études africaines · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupGovernment (linguistics)Intervention (counseling)Political scienceEconomyBusinessDevelopment economicsLawEconomicsMedicine

Abstract

fetched live from OpenAlex

Royal Dutch Shell and ChevronTexaco played central roles in the Warri Crisis, a period of deadly violence in the Nigerian oil town of Warri in 2003 and 2004. Scholars have portrayed the crisis as a resource war between local ethnic groups, but US diplomatic cables published by WikiLeaks show that Shell and ChevronTexaco shaped the main events of the crisis. The two oil companies pressured the Nigerian government to intervene in Warri when violence between local ethnic groups disrupted oil production. Shell worked closely with the Nigerian government to fund, plan and implement a military intervention, and provided Nigerian security forces with cash, equipment and logistical support. Offering an unprecedented look into the secret actions of the oil companies, the WikiLeaks cables reveal that Shell and ChevronTexaco were dominant actors in the Warri Crisis. Both companies acted in ways that contributed to the violence.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.042
GPT teacher head0.216
Teacher spread0.174 · 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 designQualitative
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

Citations5
Published2021
Admission routes1
Has abstractyes

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Same venueCanadian Journal of African Studies / Revue canadienne des études africainesSame topicNatural Resources and Economic DevelopmentFrench-language works237,207