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Record W2810929880

Introduction à la politique africaine Ed. 2

2010· book· fr· W2810929880 on OpenAlexaboutno aff
Mamoudou Gazibo

Bibliographic record

VenuePresses de l'Université de Montréal PUM eBooks · 2010
Typebook
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Geopolitics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceDemocratizationPhilosophyPoliticsDemocracy
DOInot available

Abstract

fetched live from OpenAlex

Les disparites entre les 53 pays du continent africain sont telles qu’il parait bien difficile, a premiere vue, de comprendre les grandes questions politiques sans tomber dans les generalisations abusives et les idees recues. Le professeur Mamoudou Gazibo reussit pourtant a presenter les grands enjeux de l’Afrique depuis les annees d’independance, en privilegiant une approche transversale qui tient compte tout a la fois de la diversite et des questions communes. Dans un souci pedagogique exemplaire, cet ouvrage aborde tour a tour la nature de l’Etat, l’autoritarisme, les determinants des conflits, les processus de democratisation, les tentatives de developpement, les politiques d’integration et la construction de l’Union africaine. Dans cette deuxieme edition, l’integration fait l’objet de deux chapitres (politique et economique) et un nouveau chapitre est consacre aux defis poses a la relation traditionnelle de l’Afrique avec l’Occident au regard de l’interet croissant que lui temoigne la Chine. Mamoudou Gazibo est professeur agrege au Departement de science politique de l’Universite de Montreal. Il est coauteur, avec Jane Jenson, de La politique comparee : fondements, enjeux et approches theoriques (PUM, 2004) ; auteur de Paradoxes de la democratisation en Afrique : analyse institutionnelle et strategique (PUM, 2005) ; et directeur, avec Celine Thiriot, de l’ouvrage collectif Le politique en Afrique : etat des debats et pistes de recherches (Karthala, 2009).

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.528
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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