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Record W1509702612 · doi:10.7202/703630ar

Quatre décennies de « coopération franco-africaine » : usages et usure d'un clientélisme

2005· article· en· W1509702612 on OpenAlexvenueno aff
Franck Petiteville

Bibliographic record

VenueÉtudes internationales · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
Fundersnot available
KeywordsDiplomacyGeopoliticsContext (archaeology)Political sciencePoliticsEconomic diplomacyCold warEconomyEconomic historyHistoryLawEconomics

Abstract

fetched live from OpenAlex

Since 1960, the French African Policy has been based on a military, economic, and cultural cooperation. Behind the official goal, that of development aid, lie the French geopolitical priorities. Since general de Gaulle, the French diplomacy is obsessed by the international place of France in the World. The influence of France in Africa is an integral part of this. Therefore the cooperation between France and Africa is clientelist : the economic and financial aid provided by France is exchanged with the French privilege of an economic and political influence within the African states, which includes military support in situations of border conflict and even domestic « disorder ». This conception of the relationship between France and Africa has not really changed with the French presidents who have followed general de Gaulle. Consequently, the French government institutions of cooperation with Africa have been in the same situation since the sixties. The result is such a complex, obsolete and inefficient labyrinth that the real execution of French African policy is carried out in non-official political and business networks. A radical reform of this policy is now necessary, due to the new international context : the end of the Cold War, the French involvment in the European process, and the increasing dependance of Africa on the Bretton Woods institutions.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.025
GPT teacher head0.274
Teacher spread0.250 · 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 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

Citations9
Published2005
Admission routes1
Has abstractyes

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