The Importance of a Stable Home and Family Environment in the Prevention of Youth Offending in South Africa
Bibliographic record
Abstract
The importance of a stable home and family environment in the prevention of youth offending in South Africa. This paper aims to present a strategy to prevent youth offending in South Africa. The strategy is motivated by research findings obtained from the study titled “Home and family circumstances of young offenders: A social worker’s view” in 2007. The findings of this study revealed that socio-economic factors; inept parenting and socialisation practices; exposure to inter-parental violence; sibling criminality; negative parent-child relationship; parental response to deviant behaviour of the child as well as the lack of parental interest in the rehabilitation programmes offered to their offending children increases the likelihood of a child partaking in criminal activities. This paper argues that in order to prevent youth offending South Africa should consider the importance of a stable home and family environment in the prevention of youth offending. Firstly, family planning is important. Secondly, parental involvement in a child’s activities is vital to ensure proper supervision and monitoring. Thirdly, in the absence of adequate parenting skills, efficacy and management parenting programmes could help parents learn a conforming manner of rearing their children. Lastly, once they have been caught committing a crime parents ought to take centre stage to ensure that the child’s behavioural transformation takes place.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".