Punishment before Trial: The Case for Reforming Pretrial Detention in Nigeria
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.013 | 0.020 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".