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Record W2166858734 · doi:10.21083/ajote.v1i1.1588

Challenges of Education for Democracy in The Gambia

2011· article· en· W2166858734 on OpenAlexvenueno aff
Frederick Ugwu Ozor

Bibliographic record

VenueAfrican Journal of Teacher Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyPoliticsDeveloping countryEconomic growthPolitical scienceDemocratic educationSociologyDevelopment economicsEconomicsLaw

Abstract

fetched live from OpenAlex

Several theories and conceptual issues surround global education-democracy connection. Such issues include those relating to the impact of formal education on democracy in developing countries. In contributing to the growing literature on these issues, this paper argues that education for democracy can strengthen democratic structures in the Republic of the Gambia and that developing knowledge skills in democratic education among teachers could play a significant role in developing democratic awareness. The paper addresses the basic question of whether the prevailing political culture in the Gambia is supportive of the Western model of democracy, and if not, what brand of African democracy could be adopted by African education to facilitate productivity in the society. How can African learning be structured to support democracy? The paper finally discusses the contributions of gender and age in the Gambia to democracy and democratic education, as well as how they could strengthen the development of democracy in the Gambia.

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)0.003
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0070.003
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.071
GPT teacher head0.369
Teacher spread0.298 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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