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Record W2045432910 · doi:10.7202/702842ar

Europe-Afrique : des acteurs en quête de scénarios

2005· article· en· W2045432910 on OpenAlexvenueno aff
Daniel Bach

Bibliographic record

VenueÉtudes internationales · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Politics and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyOperationalizationHarmPolitical scienceEconomyDevelopment economicsEconomics

Abstract

fetched live from OpenAlex

With the marginalization of Africa in international trade, previous models for operationalizing relations with Europe have become obsolete. There is increasingly a trend towards uncoupling between North Africa, the Republic of South Africa, and Black Africa. North Africa has broken away to the point of regarding itself as a hinterland of Europe. South Africa is likely to become both a crossroads and a transit point in trade between Europe, Africa, and the Pacific region. In Black Africa, the only current scenarios for reconnection with the rest of the world seem to amount to pointing out this subregion's capability to do harm if it were ever abandoned.

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)0.003
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0070.007
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.028
GPT teacher head0.237
Teacher spread0.209 · 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

Citations4
Published2005
Admission routes1
Has abstractyes

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