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Record W6980950885

Democratic Development and the Role of Citizenship Education in Sub-Saharan African with a Case Focus on Zambia

2005· article· en· W6980950885 on OpenAlexaff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCitizenshipRealisationDemocratizationDemocracyCorporate governanceCitizenship education
DOInot available

Abstract

fetched live from OpenAlex

In addressing issues related to problems of democratisation in Africa, this paper attempts to relate the issue to the need for citizenship education and the role that can play in social development. Citizenship should be central to the formation of viable civil societies that claim a tangible stake in national public spaces in post-Cold War Africa. These and related topics are discussed relative to new possibilities that could lead to the full realisation of the concept as well as the practice of enfranchised citizenship and inclusive social development in aspiring democracies in the Sub Saharan African context. The complexity of the development ‘problematique’ that Sub-Saharan Africa is facing is unique in that it is multi-dimensional, but above all else, politically located. It is, therefore, central to our discussions here that to correct the continent’s current schemes of underdevelopment, pragmatic schemes of governance must be achieved. To do that, we are suggesting, new possibilities of citizenship education should be formulated for the general African scene in general, and for democratising but still both institutionally and economically weakened Zambia.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.010
Scholarly communication0.0040.002
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.189
Teacher spread0.182 · 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 designNot applicable
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

Citations0
Published2005
Admission routes1
Has abstractyes

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