Aggressive and Delinquent Behavior among High Risk Youth in Malaysia
Bibliographic record
Abstract
Currently there is an alarming increase on youth involved in delinquency and criminal action in urban and sub urban areas of Malaysia. This paper aimed to measure the level of aggressive and delinquent behaviour, identify the most common delinquent behaviours, and examine the associations of aggressive and delinquent behaviour with demographic factors and individual characteristics among a sample of high risk Malaysian youth. The data used in this paper was obtained from a larger study designed to identify patterns of delinquent behaviour among teenagers and young people (15-40 years old). The results indicate that although the sample consisted of high risk youth, participants scored low in delinquent behaviour and moderate in aggressive behaviour. The findings also show significant associations between delinquent behaviour levels with both age and ethnicity; but no significant associations with gender or religion. Results indicate that common perceptions about at-risk youth may run contrary to reality; despite being at-risk, the respondents displayed lower-than-expected levels of delinquency, and moderate aggressive behaviour.
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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 | 0.001 | 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 | 0.001 | 0.002 |
| 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".