Prisons Rehabilitation Programmes in Nigeria: A Study of Inmates Perception in Okaka Prison, Bayelsa State
Bibliographic record
Abstract
The international approach that the Nigerian government subscribes to, perceive rehabilitation as ensuring that imprisoned offender’s is treated with care and dignity such that their re-entry to society should not be a challenge (Cilliers & Smit, 2007; Singh, 2008). But in Nigeria, there is still no difference between rehabilitation and incarceration due to the correctional environment. The rate of incarceration has increased dramatically where prisons are filled to capacity with an alarming overcrowding that leads to bad environments for the offenders. Crime continues inside the prison walls and gangs are rife behind bars (Singh, 2008). The available data on recidivism in Nigeria is an indication that the ex-offenders that are released by the correctional centers are not rehabilitated (Freeman, 2003). Hence this paper seeks to ascertain the effectiveness of Okaka Prison service in Nigeria on inmate’s rehabilitation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".