Gender as a Moderator of the Association Between Exposure to Violent Media Contents and Aggressive Behaviour in a Sample of Nigerian In-School Adolescents
Bibliographic record
Abstract
This is a correlational survey research which was carried out to find out if gender is a moderator of the association between exposure to violent media contents and aggressive behaviour in a sample of Nigerian in-school adolescents. The respondents were 603 senior secondary class 2 adolescents in Onitsha Education Zone of Anambra State. Two self-report questionnaires measuring violent media contents consumption and aggressive behaviour respectively were used for collection of data. Chart, partial correlation, and regression statistics were utlized to analyze and interpret the data. The research hypothesis was considered significant at .05 probability level. Results indicate that, to a very high extent, gender moderated the relationship between exposure to violent media contents and aggressive behaviour among in-school adolescents. Also, it was found that gender significantly moderated the relationship between exposure to violent media contents and aggressive behaviour among in-school adolescents. It is recommended that Nigerian secondary schools should initiate and promote gender-friendly and gender-transformative school-based interventions that would help mitigate aggression among in-school adolescents.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".