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Record W611623714 · doi:10.7202/701621ar

La vulnérabilité stratégique des minéraux : les relations triangulaires entre la République fédérale allemande, l’Afrique du Sud et l’Union soviétique.

2005· article· en· W611623714 on OpenAlexaffvenue
Andrew F. Cooper, Ashok Kapur

Bibliographic record

VenueÉtudes internationales · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDiplomacyPolitical scienceMiddle EastSoviet unionEconomyGeographyPoliticsLawEconomics

Abstract

fetched live from OpenAlex

Resource diplomacy has emerged as a key element in international relations. The controversy over the use of the grain embargo and persistent concern about the Middle East has allowed food and oil to continue to gain a great deal of attention as weapons of resource diplomacy. Other raw materials, nevertheless, also lend themselves to analysis of this sort. Strategic minerals, in particular, have been increasingly looked at as means of influence in both North/South and the East I West contexts. This study hopes to contribute to this growing body of literature by examining the significance (and merger) of the North/South and East I West contexts in regard to strategic minerals with particular reference to the Federal Republic of Germany. The paper examines the triangular relationship in strategic minerals between the FRG, Southern Africa and the Soviet Union. A number of scenarios have been put forward pertaining to a Soviet threat to Western mineral imports from Southern Africa. The most plausible of these scenarios appears to be that rather than the Soviets initiating action in Africa they respond to events in order to undermine confidence in the West. Such a scenario has serious implications for the FRG. Still, our tentative findings are that dire forecasts about a Soviet stranglehold on the FRG in terms of minerals are overplayed. It is suggested that coping mechanisms do exist for the FRG's supplies of raw materials.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.245
Teacher spread0.221 · 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.

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

Citations0
Published2005
Admission routes2
Has abstractyes

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