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Record W2051457701 · doi:10.5539/jpl.v6n2p231

The Doctrine of Natural Justice under Civil and Military Administrations in Nigeria

2013· article· en· W2051457701 on OpenAlexvenueno aff
Damilola Odeleye

Bibliographic record

VenueJournal of Politics and Law · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Sociopolitical Dynamics in Nigeria
Canadian institutionsnot available
Fundersnot available
KeywordsNatural justiceDoctrineEconomic JusticeRealmLawPolitical scienceNatural (archaeology)EnforcementState (computer science)SociologyGeography

Abstract

fetched live from OpenAlex

In all human affairs, there has been established the need for a generally acceptable code of conduct and procedure in the administration of justice, civil or criminal which must be seriously observed by all in relationships with fellow human beings. This is particularly applicable to those who are saddled with the sacred responsibility of steering the ship of the State. In this wise, the place of natural justice is pivotal and has deservedly been elevated to the realm of great importance by all civilized communities. This article traces the origin of Natural Justice and discusses the two basic ideas in which Natural Justice is embodied i.e. audi alterem partem and nemo judex in causa sua. It also discusses the doctrine of Natural Justice under the Civil and Military rule in Nigeria and some other jurisdictions. The Article concluded by identifying some problems associated with the enforcement of Natural Justice and made recommendations.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.025

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 studies0.0090.017
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0030.003
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 head0.013
GPT teacher head0.318
Teacher spread0.305 · 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 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

Citations2
Published2013
Admission routes1
Has abstractyes

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