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Record W4383104613 · doi:10.1163/17087384-bja10081

Punishment before Trial: The Case for Reforming Pretrial Detention in Nigeria

2023· article· en· W4383104613 on OpenAlexvenueno aff
Chuka Arinze-Onyia

Bibliographic record

VenueAfrican Journal of Legal Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPunishment (psychology)Punitive damagesDignityLawPolitical scienceConstitutionFair trialCriminologyDemocracyHuman rightsSociologyPsychology

Abstract

fetched live from OpenAlex

Abstract In decent society, before a person is punished, they must have committed a crime. The laws of democratic countries prohibit punishment before trial. In Nigeria, that prohibition is contained in the constitution which grants everyone accused of crime, the right to a fair trial and the right to be presumed innocent until otherwise is proven. This paper tries to show that despite these constitutional protections given to all persons in Nigeria, pretrial detainees who are merely accused of crimes suffer extremely punitive conditions before they are subjected to a trial. This paper demonstrates the failure of the Nigerian pretrial detention system to protect the dignity of pretrial detainees whose guilt has not been proved before a court. At the end, this paper draws ideas from Ghana and United States of America, of reforms that could help Nigeria fix its broken pretrial detention system.

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)0.002
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 score0.438
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.074
GPT teacher head0.389
Teacher spread0.316 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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