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Record W4415548628 · doi:10.59890/ijaer.v3i2.27

Intersection of Traditional Values and Modern Citizenship Ideals: A Study of Some Selected Higher Institutions in Kebbi State

2025· article· W4415548628 on OpenAlexaff
Usman Garba Manga, Rashida Tanko, Usman Ishaq Abdullah

Bibliographic record

VenueInternational Journal of Applied Educational Research (IJAER) · 2025
Typearticle
Language
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsCitizenshipIndividualismState (computer science)Value (mathematics)Intersection (aeronautics)Focus groupGlobal citizenshipFocus (optics)

Abstract

fetched live from OpenAlex

This study explores the intersection between traditional values and modern citizenship ideals in selected higher institutions in Kebbi State, Nigeria. Traditional values, deeply rooted in cultural heritage, often shape individuals' behaviour and societal expectations, while modern citizenship ideals emphasize rights, responsibilities, and global interconnectedness. The research examines how these two paradigms influence students, staff, and institutional practices, identifying areas of synergy and conflict. Using a mixed-method approach, data were collected through surveys, interviews, and focus group discussions involving students, educators, and administrators. Findings reveal that while traditional values foster communal bonds and moral discipline, they sometimes clash with the individualistic and progressive nature of modern citizenship ideals. The study proposes strategies to harmonize these frameworks, emphasizing the role of higher institutions in creating a balanced value system that promotes both cultural integrity and global citizenship. This research offers insights for policymakers and educators to enhance value-driven education.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.149
GPT teacher head0.442
Teacher spread0.294 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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