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Record W3034384872 · doi:10.1163/17087384-12340054

Prohibition of Stay of Proceedings in Criminal Litigations under ACJA/EFCC Acts and Speedy Dispensation of Justice: Olisah Metuh V FRN (2017) 5–7 MJSC 83

2020· article· en· W3034384872 on OpenAlexvenueno aff
Ibrahim Imam, Yusuf O. Abdulhamid

Bibliographic record

VenueAfrican Journal of Legal Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndonesian Legal and Regulatory Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionalityLawCriminal justiceSupreme courtLanguage changePolitical scienceState (computer science)Reasonable doubtCriminal procedureEconomic JusticeCriminologySociology

Abstract

fetched live from OpenAlex

Abstract Considering the reality that criminal proceedings suffer unwarranted delay due to spatial of antics habitually utilized by litigants to delay proceedings, this paper explores the judgment of the Supreme Court in Methu v FRN to determine whether, or not, exclusion of stay of proceedings is constitutional. The authors employed mainly doctrinal method, thus library based. It is established that antics and technicalities often employ by litigants/counsel in corruption cases constitute impediment to speedy trial of indicted individual in courts. The judgment under review validates the constitutionality of proscription of stay of proceedings and remedied the unwholesome attitude of litigants/counsel to deliberately delay/frustrate criminal proceedings. Similarly, the risk of denying the state of its synergy to fight corruption vide delay in securing expeditious hearing and trial of cases is extinguished and constitutional right of the accused, the victim of crime and the state to fair hearing within reasonable time reaffirmed. It is concluded that the innovative insertion of prohibition on stay of proceedings in the Administration of Criminal Justice Act ( ACJA ) and Economic and Financial Crime Commission ( EFCC ) Act mechanisms put in place to check delay in prosecuting crime of corruption, and therefore, does not infringe on the fundamental right of an accused person to fair hearing.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.088
GPT teacher head0.347
Teacher spread0.259 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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