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Record W4385417699 · doi:10.35305/cl.vi22.122

Panser et repenser le développement politique en Afrique :

2023· article· fr· W4385417699 on OpenAlexaff
Charlie Mballa

Bibliographic record

VenueClaroscuro · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Si l’économie de marché et la démocratie libérale sont les conditions préalables au développement (Camdessus 1991), pourquoi certains pays sont plus pauvres qu’avant leur engagement dans des processus de transition démocratique? À partir de quelques travaux de théoriciens de la démocratie et du « développementalisme », dont S. Lipset, l’article questionne la capacité des critères de démocratie traditionnellement utilisés à rendre compte, intellectuellement et empiriquement, du changement social et politique. En mettant à l’épreuve les critères de classification et la méthodologie de certains indices de démocratie, il explore la pertinence heuristique voire méthodologique du concept de légitimité, angle mort de la littérature consacrée au développement politique en Afrique sub-saharienne. L’article se situe au croisement de l’analyse normative (dynamiques de légitimité et d’autorité juste regardées du point de vue de ce qui est accepté) et de l’analyse positive de la démocratie en contexte de transition. Il examine plus particulièrement la meilleure approche permettant de mesurer les effets et les impacts de l’exercice du pouvoir, tout en s’intéressant aux valeurs et normes qui devraient prévaloir dans l’évaluation des transformations structurelles en Afrique et aux conditions qui devraient être prises en compte dans le choix de pays jugés « politiquement fréquentables. »

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)0.008
metaresearch head score (Gemma)0.024
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 score0.018
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0030.013
Scholarly communication0.0070.007
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.053
GPT teacher head0.343
Teacher spread0.289 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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