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Record W1805944682

Honourable Mention: West Africa: America’s foreign policy post 911 and the ‘resource curse,’ A head on collision

2007· article· en· W1805944682 on OpenAlexvenueno aff
Claire Woodside

Bibliographic record

VenueJournal of military and strategic studies · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsResource curseCurseMilitarizationForeign policyNational securityPolitical scienceDevelopment economicsGovernment (linguistics)Resource (disambiguation)Energy securityEconomyInternational tradePolitical economyEconomicsEconomic growthNatural resourceLawPoliticsSociologyEngineeringRenewable energy
DOInot available

Abstract

fetched live from OpenAlex

After 911, oil resources in West Africa were declared a national security interest of the United States. Unfortunately, many West African oil producers are afflicted with the ‘resource curse,’ which is associated with economic decline, personal rule, and civil conflict. The ‘resource curse’ is a source of instability in West Africa and threatens the stable production and exportation of oil supplies in both the short and long term. Despite the potential cost of insecurity in West Africa, the United States is pursuing policies in the region that will neither prevent nor diminish the ‘resource curse.’ America’s foreign policy strategy in West Africa is influenced primarily by the American oil lobby, the war on terror, energy security concerns, and competition with China. These influences have culminated in a foreign policy strategy that is focused first and foremost on the militarization of Africa. While security is an essential component of development, this very security can be a liability when provided to a regime that is repressive, corrupt, and/or violent. America’s current foreign policy strategy has the potential to undermine the goals of the war on terror and the reduce America’s energy security. This paper concludes with a discussion of non-military strategies that the American government may wish to consider, which could avert the ‘resource curse’ in West Africa and consequently increase security in the region.

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 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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.053
GPT teacher head0.265
Teacher spread0.213 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2007
Admission routes1
Has abstractyes

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