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Record W2067732054 · doi:10.5539/hes.v4n3p64

Teaching for Democracy in Nigeria: A Paradigm Shift

2014· article· en· W2067732054 on OpenAlexvenueno aff
Donald Bette Enu, Maxwell Borjor Eba

Bibliographic record

VenueHigher Education Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsRote learningDemocracyRestructuringCurriculumContext (archaeology)Teaching methodMemorizationGovernment (linguistics)CivicsCritical thinkingSocial studiesCorporate governanceSociologyPedagogyProcess (computing)Mathematics educationPolitical sciencePoliticsPsychologyCooperative learningManagementComputer scienceLawEconomics

Abstract

fetched live from OpenAlex

In this qualitative study, the authors addresses the complexities of the Nigerian Social Studies teaching context taking into cognizance the pervasive and lecture-based pedagogical process centered on rote learning and memorization. Democracy being a globally enthroned system of government can only endure when the citizens are actively involved by making input into the system of governance. Nigerian educators, particularly Social Studies educators, must rethink their teaching practices that will produce responsible democratic citizens. To achieve this, there is need to guide a transition in the teaching approach from rote learning to critical thinking. This paper therefore advocates for a restructuring of both the curriculum and instructional approach that will give Nigerian students the desired disposition to think for themselves so as to become good citizens in a sustainable democracy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.060
GPT teacher head0.421
Teacher spread0.361 · 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 designTheoretical or conceptual
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

Citations4
Published2014
Admission routes1
Has abstractyes

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