Continuous Ex-Offenders’ Reformation and Avoidance of Recidivistic Acts in Nigeria
Bibliographic record
Abstract
This paper arose from very serious concern emanating from the skyrocketed cases of recidivistic occurrences in Nigeria which as observed impact negatively on the Nigerian prison reformatory and rehabilitation processes vis-à-vis the security of lives and property. It is common now in Nigeria that our prison population keeps increasing without the corresponding facilities, manpower, and resources to effectively and efficiently reform inmates that after release would be better law-abiding and self-sustaining. From the study, it was revealed that ex-offenders become more hardened and daring, and prefer to habituate the prison environment to outside society. The lack and absence of training tools like mechanic workshops, tailoring shops, and more saddening the cruelty meted out on them inside the prison makes it worse; the stigmatization and outright denial of job opportunities as compared to their counterparts who are not ex-offenders are offensive to them. The study recommends as follows: Government should equip all correctional facilities in Nigeria with the approved international standards that through it inmates, after release, can be meaningfully engaged and be relatively self-sustaining; The government through its agencies like National Orientation Agency, federal radio, and television in conjunction with the religious bodies, sensitize the public on the danger of stigmatizing ex-convicts because it has far-reaching consequences; With the help of social workers, there should be follow-up and an evaluative scheme that requires an ex-offender constantly be monitored to prevent reoffending; and Schools should be established in the prisons and properly funded by the government to help to functionally educate and reshape the minds of the inmates so that upon release they will be better citizens.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".