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Record W2944238070 · doi:10.3968/10966

A Critique of Traditional Igbo and Yoruba Moral Perspectives on Evil

2019· article· en· W2944238070 on OpenAlexvenueno aff
Marcel Ikechukwu Sunday Onyibor, Tayo Raymond Ezekiel Eegunlusi

Bibliographic record

VenueCanadian social science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsnot available
Fundersnot available
KeywordsIgboYorubaSociologyMoral responsibilityEpistemologyMoral evilGood and evilEnvironmental ethicsViewpointsDivinationChristianityIslamPolitical ponerologyAestheticsPhilosophyReligious studiesTheology

Abstract

fetched live from OpenAlex

Evil and its moral consequences are problematic as far as human societies are concerned, whether primitive or civilised. As humans experience or cope with the reality of evil in its various forms in daily existence, every cultural group finds ways of explaining and contending with it in its world view. Perspectives on the existence of evil are as real in Africa as they are in other parts of the world. Going by this, Africans have reflected on questions concerning what is evil culturally and religiously, both which cannot be detached from moral viewpoints on evil. Despite the influences of foreign cultures as Christianity and Islam, certain primordial convictions endured in Igbo and Yoruba cultures. As its objective, this article explores the moral issues arising from their traditional cultural perspective on evil, especially as relating to the existence of evil and moral responsibility. To achieve this objective, the article is woven around the following research questions: What are the distinctive Igbo and Yoruba traditional perceptions of evil in their world views? How do these affect considerations of moral responsibility? Methodologically, the paper applies philosophical argumentation and analysis in interrogation of the issues involved in its objectives.

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: none
Teacher disagreement score0.784
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.058
GPT teacher head0.297
Teacher spread0.238 · 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
Published2019
Admission routes1
Has abstractyes

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