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Record W2291760185 · doi:10.55016/ojs/ajer.v59i3.55641

African Indigenous Proverbs and the Question of Youth Violence: Making the Case for the Use of the Teachings of Igbo of Nigeria and Kiembu of Kenya Proverbs for Youth Character and Moral Education

2014· article· en· W2291760185 on OpenAlexafffundvenue
George Dei

Bibliographic record

VenueAlberta Journal of Educational Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsUniversity of Toronto
FundersUniversity of South AfricaUniversity of Toronto
KeywordsIgboIndigenousCharacter (mathematics)Moral characterAfrican cultureSoutheastern NigeriaSociologyIndigenous cultureCharacter educationGender studiesCriminologyPsychologySocial psychologySocioeconomicsPhilosophyEcology

Abstract

fetched live from OpenAlex

The historic and contemporary global concern over youth violence and indiscipline/subordination in schools has educators, school administrators and policy makers working hard to ensure that schools are welcoming and safe spaces for learners. Social harmony can only be achieved by understanding and addressing the causes of youth violence and indiscipline as part of a curriculum of values and character education to ensure effective learning outcomes for all. While the engagement of local cultural resource knowledge has not been prominent in discussions on youth violence and learning, it can be an important tool in educational delivery. This paper identifies the teachings of Indigenous African philosophies, such as proverbs relating to the concept of self and the community, responsibility, respect for self, peers and authority, and mutual interdependence and community building, and their place in school curricular, pedagogical and instructional initiatives to enhance youth learning in Euro-American and African schooling contexts.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.118
GPT teacher head0.391
Teacher spread0.273 · 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 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

Citations4
Published2014
Admission routes3
Has abstractyes

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