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Record W2891459504 · doi:10.3917/ri.174.0073

Projets français et belge de grands barrages africains, 1954-1960. Nationalismes, Eurafrique ou panafricanisme ?

2018· article· fr· W2891459504 on OpenAlexaboutno aff
Jean-Bruno Mukanya Kaninda-Muana

Bibliographic record

VenueRelations internationales · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Actualisés après la Seconde Guerre mondiale, les projets français et belge de grands barrages africains représentaient une initiative-phare pour l’intégration tant euro-africaine que proprement africaine, car ils bénéficiaient de facteurs stimulants exceptionnellement convergents. Mais, marqués par l’extraversion et les divergences d’intérêts entre les forces en présence que la BIRD elle-même ne sut concilier, ils ne débouchèrent pas sur l’intégration énergétique de l’Afrique. Les exigences en matière de stabilité politico-économique des colonies des entreprises canadiennes et américaines soucieuses de garantir leurs investissements, le verrouillage de la souveraineté par les capitalismes coloniaux français et belge, attachés à défendre l’intérêt national et à consolider les Empires, conduisirent fondamentalement à négliger le facteur africain. Lors de la décolonisation, ce dernier devint déterminant, obligeant les protagonistes à réajuster leurs stratégies. L’indépendance marqua la fin du rêve d’intégration africaine par le biais hydroélectrique. Les projets de grands barrages devinrent, entre l’Occident et les nouveaux États africains indépendants, des instruments de coopération à la carte.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.986

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.027
GPT teacher head0.313
Teacher spread0.286 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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