Influence of Selected Factors on Behaviour of Adolescents Involved in Political Violence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The research is on “violence in politics among adolescents in the Nigerian society”. The research problems were to find out why adolescents have become violent when they are involved in politics. Certain factors were selected for investigation. The purpose was to find out the relationship between these factors and violence in polition in order to make recommendation on limiting the influence of these factors. The study was guided by five (5) hypotheses based on the relationship of socio-economic status, age of adolescents, parental care, discipline and situational background of violence occurrence. The descriptive design was used for the study and data collected through questionnaire. The chi-square method was adopted to analyse data collected. Findings showed the relationship of these factors with violence in adolescents in politics. Recommendations were made based on the results of data analyzed and findings of the research.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it