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Record W6892382631 · doi:10.5281/zenodo.1054106

Report Of An Investigation Into Oil Development, Conflict And Displacement In Western Upper Nile, Sudan

2001· article· en· W6892382631 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleumContext (archaeology)Petroleum industryGovernment (linguistics)IndigenousFront (military)ChinaHuman settlement

Abstract

fetched live from OpenAlex

This report documents and places into context an intensification of armed attacks on civilians in key areas of Sudan’s contested oil region in Western Upper Nile during 2000 and 2001. The attacks were carried out by Government of Sudan (GoS) forces and local pro-government militias and by rebel forces of, or aligned with, the Sudan Peoples’ Liberation Army (SPLA) and the Sudan Peoples’ Democratic Front / Defence Force (SPDF). A significant new development in the period 2000-2001 is a higher number of direct attacks on civilians by the armed forces of the Government of Sudan. The report concentrates on the the operational area of the Greater Nile Petroleum Operating Company (GNPOC), the oil consortium that comprises the China National Petroleum Corporation (CNPC), Petronas Carigali (the national petroleum company of Malaysia, or its subsidiary Petronas Carigali Overseas Sudan Berhad), Sudapet (the Sudan state petroleum company) and Canada’s Talisman Energy (Talisman). As noted in the preliminary report of this mission, the investigators found that there was an increase in the number of recorded helicopter gunship attacks on settlements in or near this area. Some of these gunships have operated from facilities built, maintained and used by the oil consortium. The attacks are part of what appears to be a renewed Government of Sudan strategy to displace indigenous non-Arab inhabitants from specific rural areas of the oil region in order to clear and secure territory for oil development.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.063
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.043
GPT teacher head0.235
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

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 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

Citations5
Published2001
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)Same topicNatural Resources and Economic DevelopmentFrench-language works237,207