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Record W2992935899

Historicising Civil Society In Africa: An Analysis of the State, Democracy and the Third Sector

2015· article· en· W2992935899 on OpenAlexvenueno aff
M. M. Fadakinte

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsnot available
Fundersnot available
KeywordsCivil societyDemocracyState (computer science)AuthoritarianismConstitutionalismPoliticsLiberal democracyValue (mathematics)Political scienceGovernment (linguistics)SociologyLawPolitical economy
DOInot available

Abstract

fetched live from OpenAlex

This paper discusses civil society as both a social value and as a set of institutions. However, whichever way we discuss the idea of civil society (as social value or as a set of institutions) in Africa, we are faced with some challenges because the idea of civil society poses a unique problematic. For example, to what extent is civil society a relevant idea in Africa, or does the idea of civil society any history in Africa, or does the third sector play any meaningful role, so as to be relevant in constitutionalism? Civil society as institutions derives its relevance from being between the state (government) and the people (society) to prevent the state from tyrannical and authoritarian rule and protect the citizen’s rights (democracy). In Africa, the state is either non-existent or it is in serious crisis, because it is fragmented and also lacks the peace to grow democracy while the African societies are more like communities as Africans are really more in communities than in societies. Again, in Africa, the liberal democracy that makes civil society institutions relevant is a charm. What do we then have in Africa, to make politics and liberal democracy (state/ society relations) a meaningful project?

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)0.002
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 score0.029
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0070.014
Scholarly communication0.0050.005
Open science0.0000.002
Research integrity0.0010.002
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 head0.058
GPT teacher head0.279
Teacher spread0.221 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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