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Record W4200448200 · doi:10.1163/17087384-12340087

An Overview of the State of Electoral Democracy in Africa

2021· article· en· W4200448200 on OpenAlexvenueno aff
Charles Manga Fombad

Bibliographic record

VenueAfrican Journal of Legal Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyAuthoritarianismConstitutionalismPolitical economyPolitical scienceState (computer science)Rule of lawPoliticsDevelopment economicsSociologyLawEconomics

Abstract

fetched live from OpenAlex

Abstract Most recent accounts paint a bleak and gloomy picture of the state of global democracy. This is particularly so in Africa where the optimism of a democratic revival in the 1990s is rapidly giving way to narratives of doom and gloom. Using survey data compiled by well-established regional and global international organisations, this paper assesses the state of electoral democracy in Africa, reviews the challenges that have been encountered, and considers the prospects for the future. The trend in the evolution of electoral democracy on the continent in the last three decades points to an authoritarian mobilisation and resurgence. Although elections have become the norm, these elections are increasingly being used to disguise all forms of undemocratic governance. The major lesson to be drawn from the study is that there is no African country where democracy and constitutionalism can be thought of as firmly consolidated and secure. The number of countries which are declining due to failed or flawed electoral processes, or which show signs of stagnation, far exceed those that have improved to one degree or another. Current developments are not random ad hoc efforts to undermine the credibility of elections and democracy but rather, rational and well-calculated responses by ruling African elites who seek to perpetuate their rule. What this points to is the need to rethink strategies for promoting genuinely competitive elections, democracy, and constitutionalism.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.202

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.114
GPT teacher head0.392
Teacher spread0.278 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2021
Admission routes1
Has abstractyes

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