Core Self-Evaluations among Prisoners on Formal and Vocational Training in Uganda’s Luzira Prison
Bibliographic record
Abstract
The study examined the core self-evaluations of prisoners on formal and vocational education in Luzira Prison in Uganda. A cross-sectional survey design using a quantitative approach with.800 participants selected purposively was used. Core self-evaluations were measured using Judge, Erez, Bono and Thoresen’s scale, while data were analyzed using one-way analysis of variance (ANOVA) and post hoc test. The study yielded statistically significant variations among education levels, (F [4, 795] =3.18, p <.05) where a post hoc test revealed significant difference between Degree holders (M = 2.86, SD = .27), on the one hand, and O’Level (M = 3.00, SD = .29), A ‘level (M = 3.039, SD = .32) and Diploma (M = 3.00, SD = .29) level students, on the other. The study demonstrates the significance of core self-evaluation to the life prospects of the prison inmate and recommends that prisoners' core self-evaluations be nurtured. It supports studies that correlate core self-evaluations to ultimate reduction in prison congestion and government expenditure.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".