Attitudinal Disposition of Correctional Officers’ Towards an Inmates with Mental illness in Agodi Prison, Oyo State, Nigeria
Bibliographic record
Abstract
There is a frequently higher prevalence of mental health problems among the incarcerated population in Nigeria. However, their mental health is often neglected, leading to a complex interplay of issues that hinder effective rehabilitation and integration of offenders into society. This study examined the attitudinal disposition of correctional officers towards the mental health of an inmate in Agodi correctional home, Ibadan. This is a cross-sectional study design and a stratified random sampling technique were used to select 200 correctional officers. A socio-demographic questionnaire and questions focusing on the stigmatization of inmates living with mental health. The Pearson Product Moment Correlation was used to test the generated hypotheses at a 0.05 significance level. Findings revealed that there was a significant relationship between counselling service and inmate mental health (r = .621, n= 200, p < .05), there was a significant relationship between rehabilitation program and inmate mental health (r = .642, n= 200, p < .05), there was a significant relationship between welfare service and inmate mental health (r = .716, n= 200, p < .05), there was a significant relationship between correctional officers attitude and inmates mental health (r = .731, n= 200, p < .05). This study underscored the potential consequences of negative attitudes, such as stigmatization, discrimination, and inadequate provision of mental health care, which can impede the rehabilitation and successful reintegration of inmates into society. Therefore, a comprehensive understanding of the attitudinal disposition of correctional officers towards inmates with mental illness is imperative.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".